Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine

Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans

Fire, A., Xu, S., Montgomery, M. K., Kostas, S. A., Driver, S. E., & Mello, C. C. (1998) · Nature · doi:10.1038/35888 · Cited by 15,429 · see citing works

Duplexes of 21-nucleotide RNAs mediate RNA interference in cultured mammalian cells

Elbashir, S. M., Harborth, J., Lendeckel, W., Yalcin, A., Weber, K., & Tuschl, T. (2001) · Nature · doi:10.1038/35078107 · Cited by 9,456 · see citing works

Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

Gerlinger, M., Rowan, A. J., Horswell, S., Larkin, J., Endesfelder, D., Gronroos, E., Martinez, P., Matthews, N., Stewart, A., Tarpey, P., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1113205 · Cited by 7,774 · see citing works

Stimuli-responsive nanocarriers for drug delivery

Mura, S., Nicolas, J., & Couvreur, P. (2013) · Nature Materials · doi:10.1038/nmat3776 · Cited by 6,289 · see citing works

Cancer nanomedicine: progress, challenges and opportunities

Shi, J., Kantoff, P. W., Wooster, R., & Farokhzad, O. C. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2016.108 · Cited by 5,873 · see citing works

Development and Applications of CRISPR-Cas9 for Genome Engineering

Hsu, P. D., Lander, E. S., & Zhang, F. (2014) · Cell · doi:10.1016/j.cell.2014.05.010 · Cited by 5,762 · see citing works

A New Initiative on Precision Medicine

Collins, F. S., & Varmus, H. (2015) · New England Journal of Medicine · doi:10.1056/nejmp1500523 · Cited by 5,202 · see citing works

Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis

Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., et al. (2016) · Nature · doi:10.1038/nature16521 · Cited by 5,087 · see citing works

Circulating Tumor Cells, Disease Progression, and Survival in Metastatic Breast Cancer

Cristofanilli, M., Budd, G. T., Ellis, M. J., Stopeck, A., Matera, J., Miller, M. C., Reuben, J. M., Doyle, G. V., Allard, W. J., Terstappen, L. W. M. M., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040766 · Cited by 4,602 · see citing works

Artificial intelligence in radiology

Hosny, A., Parmar, C., Quackenbush, J., Schwartz, L. H., & Aerts, H. J. W. L. (2018) · Nature Reviews Cancer · doi:10.1038/s41568-018-0016-5 · Cited by 3,803 · see citing works

Real-Time DNA Sequencing from Single Polymerase Molecules

Eid, J., Fehr, A., Gray, J., Luong, K., Lyle, J., Otto, G., Peluso, P., Rank, D., Baybayan, P., Bettman, B., et al. (2009) · Science · doi:10.1126/science.1162986 · Cited by 3,732 · see citing works

Characterization of individual polynucleotide molecules using a membrane channel

Kasianowicz, J. J., Brandin, E., Branton, D., & Deamer, D. W. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.24.13770 · Cited by 3,369 · see citing works

Machine Learning Applications in Cancer Prognosis and Prediction

Kourou, K., Exarchos, T. P., Exarchos, K. P., Karamouzis, M. V., & Fotiadis, D. I. (2015) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2014.11.005 · Cited by 3,338 · see citing works

Knocking down barriers: advances in siRNA delivery

Whitehead, K. A., Langer, R., & Anderson, D. G. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2742 · Cited by 3,115 · see citing works

Clonal heterogeneity and tumor evolution: past, present, and the future

McGranahan, N., & Swanton, C. (2017) · Cell · doi:10.1016/j.cell.2017.01.018 · Cited by 2,840 · see citing works

Evidence of RNAi in humans from systemically administered siRNA via targeted nanoparticles

Davis, M. E., Zuckerman, J. E., Choi, C. H. J., Seligson, D. B., Tolcher, A. W., Alabi, C. A., Yen, Y., Heidel, J. D., & Ribas, A. (2010) · Nature · doi:10.1038/nature08956 · Cited by 2,508 · see citing works

Multiplexed electrical detection of cancer markers with nanowire sensor arrays

Zheng, G., Patolsky, F., Cui, Y., Wang, W. U., & Lieber, C. M. (2005) · Nature Biotechnology · doi:10.1038/nbt1138 · Cited by 2,430 · see citing works

Nanoparticle and targeted systems for cancer therapy

Brannon‐Peppas, L., & Blanchette, J. O. (2004) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2004.02.014 · Cited by 2,335 · see citing works

Opportunities and obstacles for deep learning in biology and medicine

Ching, T., Himmelstein, D. S., Beaulieu-Jones, B. K., Kalinin, A. A., Do, B. T., Way, G. P., Ferrero, E., Agapow, P.-M., Zietz, M., Hoffman, M. M., et al. (2018) · Journal of The Royal Society Interface · doi:10.1098/rsif.2017.0387 · Cited by 2,310 · see citing works

Progress and challenges towards targeted delivery of cancer therapeutics

Rosenblum, D., Joshi, N., Tao, W., Karp, J. M., & Peer, D. (2018) · Nature Communications · doi:10.1038/s41467-018-03705-y · Cited by 2,220 · see citing works

Tumor delivery of macromolecular drugs based on the EPR effect

Torchilin, V. P. (2010) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2010.03.011 · Cited by 2,032 · see citing works

Targeted drug delivery to tumors: Myths, reality and possibility

Bae, Y. H., & Park, K. (2011) · Journal of Controlled Release · doi:10.1016/j.jconrel.2011.06.001 · Cited by 1,947 · see citing works

Solid-state nanopores

Dekker, C. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.27 · Cited by 1,940 · see citing works

Real-time DNA sequencing from single polymerase molecules.

Korlach, J., Bjornson, K., Chaudhuri, B., Cicero, R., Flusberg, B., Gray, J., Holden, D., Saxena, R., Wegener, J., & Turner, S. (2010) · Methods in Enzymology · doi:10.1016/s0076-6879(10)72001-2 · Cited by 1,847 · see citing works

Rational design of cationic lipids for siRNA delivery

Semple, S. C., Akinc, A., Chen, J., Sandhu, A. P., Mui, B. L., Cho, C. K., Sah, D. W. Y., Stebbing, D., Crosley, E. J., Yaworski, E., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt.1602 · Cited by 1,822 · see citing works

Delivery materials for siRNA therapeutics

Kanasty, R., Dorkin, J. R., Vegas, A., & Anderson, D. (2013) · Nature Materials · doi:10.1038/nmat3765 · Cited by 1,800 · see citing works

The Oxford Nanopore MinION: delivery of nanopore sequencing to the genomics community

Jain, M., Olsen, H. E., Paten, B., & Akeson, M. (2016) · Genome Biology · doi:10.1186/s13059-016-1103-0 · Cited by 1,588 · see citing works

Challenges and Key Considerations of the Enhanced Permeability and Retention Effect for Nanomedicine Drug Delivery in Oncology

Prabhakar, U., Maeda, H., Jain, R. K., Sevick-Muraca, E. M., Zamboni, W. C., Farokhzad, O. C., Barry, S. T., Gabizón, A., Grodzinski, P. A., & Blakey, D. C. (2013) · Cancer Research · doi:10.1158/0008-5472.can-12-4561 · Cited by 1,489 · see citing works

Paul Ehrlich's magic bullet concept: 100 years of progress

Strebhardt, K., & Ullrich, A. (2008) · Nature reviews. Cancer · doi:10.1038/nrc2394 · Cited by 1,461 · see citing works

Direct detection of DNA methylation during single-molecule, real-time sequencing

Flusberg, B. A., Webster, D. R., Lee, J. H., Travers, K. J., Olivares, E. C., Clark, T. A., Korlach, J., & Turner, S. W. (2010) · Nature Methods · doi:10.1038/nmeth.1459 · Cited by 1,460 · see citing works

Real-time, portable genome sequencing for Ebola surveillance

Quick, J., Loman, N. J., Duraffour, S., Simpson, J. T., Severi, E., Cowley, L. A., Boré, J. A., Koundouno, F. R., Dudas, G., Mikhail, A. F. W., et al. (2016) · Nature · doi:10.1038/nature16996 · Cited by 1,450 · see citing works

Theranostics: Combining Imaging and Therapy

Kelkar, S. S., & Reineke, T. M. (2011) · Bioconjugate Chemistry · doi:10.1021/bc200151q · Cited by 1,394 · see citing works

Selective laser photo-thermal therapy of epithelial carcinoma using anti-EGFR antibody conjugated gold nanoparticles

El‐Sayed, I. H., Huang, X., & ElSayed, M. E. H. (2005) · Cancer Letters · doi:10.1016/j.canlet.2005.07.035 · Cited by 1,354 · see citing works

Direct Ultrasensitive Electrical Detection of DNA and DNA Sequence Variations Using Nanowire Nanosensors

Hahm, J., & Lieber, C. M. (2003) · Nano Letters · doi:10.1021/nl034853b · Cited by 1,304 · see citing works

Personal omics profiling reveals dynamic molecular and medical phenotypes

Chen, R., Mias, G. I., Li-Pook-Than, J., Jiang, L., Lam, H. Y. K., Chen, R., Miriami, E., Karczewski, K. J., Hariharan, M., Dewey, F. E., et al. (2012) · Cell · doi:10.1016/j.cell.2012.02.009 · Cited by 1,291 · see citing works

Diagnosing lung cancer in exhaled breath using gold nanoparticles

Peng, G., Tisch, U., Adams, O., Hakim, M., Shehada, N., Broza, Y. Y., Billan, S., Abdah‐Bortnyak, R., Kuten, A., & Haick, H. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.235 · Cited by 1,268 · see citing works

Personalized medicine: Time for one-person trials

Schork, N. J. (2015) · Nature · doi:10.1038/520609a · Cited by 1,229 · see citing works

A combinatorial library of lipid-like materials for delivery of RNAi therapeutics

Akinc, A., Zumbuehl, A., Goldberg, M. S., Leshchiner, E. S., Busini, V., Hossain, N., Bacallado, S., Nguyen, D. N., Fuller, J. E., Alvarez, R., et al. (2008) · Nature Biotechnology · doi:10.1038/nbt1402 · Cited by 1,228 · see citing works

Toward a full understanding of the EPR effect in primary and metastatic tumors as well as issues related to its heterogeneity

Maeda, H. (2015) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.01.002 · Cited by 1,179 · see citing works

Molecularly self-assembled nucleic acid nanoparticles for targeted in vivo siRNA delivery

Lee, H., Lytton‐Jean, A. K. R., Chen, Y., Love, K. T., Park, A. I., Karagiannis, E. D., Sehgal, A., Querbes, W., Zurenko, C., Jayaraman, M., et al. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2012.73 · Cited by 1,168 · see citing works

Applications and Advances in Electronic-Nose Technologies

Wilson, A. D., & Baietto, M. (2009) · Sensors · doi:10.3390/s90705099 · Cited by 1,156 · see citing works

PEGylated WS2 Nanosheets as a Multifunctional Theranostic Agent for in vivo Dual‐Modal CT/Photoacoustic Imaging Guided Photothermal Therapy

Cheng, L., Liu, J., Gu, X., Gong, H., Shi, X., Liu, T., Wang, C., Wang, X., Liu, G., Xing, H., et al. (2013) · Advanced Materials · doi:10.1002/adma.201304497 · Cited by 1,109 · see citing works

Highly parallel direct RNA sequencing on an array of nanopores

Garalde, D. R., Snell, E. A., Jachimowicz, D., Sipos, B., Lloyd, J. H., Bruce, M., Pantic, N., Admassu, T., James, P. L., Warland, A., et al. (2018) · Nature Methods · doi:10.1038/nmeth.4577 · Cited by 1,094 · see citing works

pH-Responsive Nanoparticles for Drug Delivery

Gao, W., Chan, J. M., & Farokhzad, O. C. (2010) · Molecular Pharmaceutics · doi:10.1021/mp100253e · Cited by 1,044 · see citing works

Safety and efficacy of RNAi therapy for transthyretin amyloidosis

Coelho, T., Adams, D., Silva, A., Lozeron, P., Hawkins, P. N., Mant, T., Perez, J., Chiesa, J., Warrington, S., Tranter, E., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1208760 · Cited by 971 · see citing works

Reading DNA at single-nucleotide resolution with a mutant MspA nanopore and phi29 DNA polymerase

Manrao, E. A., Derrington, I. M., Laszlo, A. H., Langford, K. W., Hopper, M. K., Gillgren, N., Pavlenok, M., Niederweis, M., & Gundlach, J. H. (2012) · Nature Biotechnology · doi:10.1038/nbt.2171 · Cited by 966 · see citing works

Nanomaterials based electrochemical sensors for biomedical applications

Chen, A., & Chatterjee, S. (2013) · Chemical Society Reviews · doi:10.1039/c3cs35518g · Cited by 959 · see citing works

Aberrant methylation of p16 INK4a is an early event in lung cancer and a potential biomarker for early diagnosis

Belinsky, S. A., Nikula, K. J., Palmisano, W. A., Michels, R., Saccomanno, G., Gabrielson, E. W., Baylin, S. B., & Herman, J. G. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.20.11891 · Cited by 957 · see citing works

Single-quantum-dot-based DNA nanosensor

Zhang, C., Yeh, H., Kuroki, M. T., & Wang, T. (2005) · Nature Materials · doi:10.1038/nmat1508 · Cited by 952 · see citing works

Folate-mediated delivery of macromolecular anticancer therapeutic agents

Lu, Y. J., & Low, P. S. (2002) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(02)00042-x · Cited by 942 · see citing works

RNA-Seq of Tumor-Educated Platelets Enables Blood-Based Pan-Cancer, Multiclass, and Molecular Pathway Cancer Diagnostics

Best, M. G., Sol, N., Kooi, I. E., Tannous, J. M., Westerman, B. A., Rustenburg, F., Schellen, P., Verschueren, H., Post, E., Köster, J., et al. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.09.018 · Cited by 922 · see citing works

Volatile organic compounds in breath as markers of lung cancer: a cross-sectional study

Phillips, M., Gleeson, K., Hughes, J. M. B., Greenberg, J. H., Cataneo, R. N., Baker, L., & McVay, W. P. (1999) · The Lancet · doi:10.1016/s0140-6736(98)07552-7 · Cited by 921 · see citing works

Impact of tumor-specific targeting on the biodistribution and efficacy of siRNA nanoparticles measured by multimodality in vivo imaging

Bartlett, D. W., Su, H. C., Hildebrandt, I. J., Weber, W., & Davis, M. E. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707461104 · Cited by 808 · see citing works

Nanoparticle and targeted systems for cancer therapy

Brannon‐Peppas, L., & Blanchette, J. O. (2012) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.09.033 · Cited by 797 · see citing works

Clinical Translation of Nanomedicine

Min, Y., Caster, J. M., Eblan, M. J., & Wang, A. Z. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00116 · Cited by 794 · see citing works

Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles

Puzyn, T., Rasulev, B., Gajewicz, A., Hu, X., Dasari, T. P., Michalková, A., Hwang, H., Toropov, A. A., Leszczyńska, D., & Leszczyński, J. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.10 · Cited by 786 · see citing works

Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors

Peng, G., Hakim, M., Broza, Y. Y., Billan, S., Abdah‐Bortnyak, R., Kuten, A., Tisch, U., & Haick, H. (2010) · British Journal of Cancer · doi:10.1038/sj.bjc.6605810 · Cited by 776 · see citing works

Superparamagnetic Iron Oxide Nanoparticle Probes for Molecular Imaging

Thorek, D. L. J., Chen, A. K., Czupryna, J., & Tsourkas, A. (2006) · Annals of Biomedical Engineering · doi:10.1007/s10439-005-9002-7 · Cited by 772 · see citing works

Enzyme-responsive nanoparticles for drug release and diagnostics

de la Rica, R., Aili, D., & Stevens, M. M. (2012) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.01.002 · Cited by 765 · see citing works

Pharmacogenomic Predictor of Sensitivity to Preoperative Chemotherapy With Paclitaxel and Fluorouracil, Doxorubicin, and Cyclophosphamide in Breast Cancer

Hess, K. R., Anderson, K., Symmans, W. F., Valero, V., Ibrahim, N. K., Mejia, J. A., Booser, D. J., Theriault, R. L., Buzdar, A. U., Dempsey, P. J., et al. (2006) · Journal of Clinical Oncology · doi:10.1200/jco.2006.05.6861 · Cited by 720 · see citing works

First-in-Humans Trial of an RNA Interference Therapeutic Targeting VEGF and KSP in Cancer Patients with Liver Involvement

Tabernero, J. M., Shapiro, G. I., LoRusso, P. M., Cervantes, A. M. R., Schwartz, G. K., Weiss, G. J., Paz-Ares, L. G., Cho, D. C., Infante, J. R., Alsina, M., et al. (2013) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0429 · Cited by 700 · see citing works

Pilot Study Using Molecular Profiling of Patients' Tumors to Find Potential Targets and Select Treatments for Their Refractory Cancers

Hoff, D. D. V., Stephenson, J. J., Rosen, P. J., Loesch, D. M., Borad, M. J., Anthony, S. P., Jameson, G., Brown, S., Cantafio, N. A., Richards, D., et al. (2010) · Journal of Clinical Oncology · doi:10.1200/jco.2009.26.5983 · Cited by 650 · see citing works

Active scaffolds for on-demand drug and cell delivery

Zhao, X., Kim, J., Cezar, C. A., Huebsch, N., Lee, K., Bouhadir, K. H., & Mooney, D. J. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007862108 · Cited by 645 · see citing works

Molecular Engineering of DNA: Molecular Beacons

Wang, K., Tang, Z., Yang, C. J., Kim, Y., Fang, X., Li, W., Wu, Y., Medley, C. D., Cao, Z. C., Li, J., et al. (2008) · Angewandte Chemie International Edition · doi:10.1002/anie.200800370 · Cited by 640 · see citing works

Lipid nanoparticles enabling gene therapies: from concepts to clinical utility

Kulkarni, J. A., Cullis, P. R., & van der Meel, R. (2018) · Nucleic Acid Therapeutics · doi:10.1089/nat.2018.0721 · Cited by 592 · see citing works

Effective targeting of solid tumors in patients with locally advanced cancers by radiolabeled pegylated liposomes.

Harrington, K. J., Mohammadtaghi, S., Uster, P. S., Glass, D. M., Peters, A. M., Vile, R. G., & Stewart, J. S. W. (2001) · PubMed · Cited by 575 · see citing works

Sensors for Breath Testing: From Nanomaterials to Comprehensive Disease Detection

Konvalina, G., & Haick, H. (2014) · Accounts of Chemical Research · doi:10.1021/ar400070m · Cited by 561 · see citing works

Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties

Menden, M. P., Iorio, F., Garnett, M. J., McDermott, U., Benes, C. H., Ballester, P. J., & Sáez-Rodríguez, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061318 · Cited by 543 · see citing works

Drug Release from Electric-Field-Responsive Nanoparticles

Ge, J., Neofytou, E. A., Cahill, T. J., Beygui, R. E., & Zare, R. N. (2011) · ACS Nano · doi:10.1021/nn203430m · Cited by 534 · see citing works

Semi‐Automated Synthesis and Screening of a Large Library of Degradable Cationic Polymers for Gene Delivery

Anderson, D. G., Lynn, D. M., & Langer, R. (2003) · Angewandte Chemie International Edition · doi:10.1002/anie.200351244 · Cited by 508 · see citing works

Nanoparticles that communicate in vivo to amplify tumour targeting

Park, J., Lin, K., Singh, N., Schwöppe, C., Mesters, R. M., Berdel, W. E., Ruoslahti, E. I., Sailor, M. J., von Maltzhan, G., & Bhatia, S. N. (2010) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 500 · see citing works

DNA Methylation Biomarkers for Blood-Based Colorectal Cancer Screening

Lofton–Day, C., Model, F., deVos, T., Tetzner, R., Distler, J., Schuster, M., Song, X., Lesche, R., Liebenberg, V., Ebert, M., et al. (2007) · Clinical Chemistry · doi:10.1373/clinchem.2007.095992 · Cited by 494 · see citing works

Polymer-Grafted Mesoporous Silica Nanoparticles as Ultrasound-Responsive Drug Carriers

Paris, J. L., Cabañas, M. V., Manzano, M., & Vallet‐Regí, M. (2015) · ACS Nano · doi:10.1021/acsnano.5b04378 · Cited by 484 · see citing works

Theranostic Nanomedicine for Cancer

Sumer, B. D., & Gao, J. (2008) · Nanomedicine · doi:10.2217/17435889.3.2.137 · Cited by 478 · see citing works

Real-time shape approximation and fingerprinting of single proteins using a nanopore

Yusko, E. C., Bruhn, B. R., Eggenberger, O. M., Houghtaling, J., Rollings, R. C., Walsh, N. C., Nandivada, S., Pindrus, M. A., Hall, A. R., Sept, D., et al. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2016.267 · Cited by 476 · see citing works

Data analysis for electronic nose systems

Scott, S. M., James, D., & Ali, Z. (2006) · Microchimica Acta · doi:10.1007/s00604-006-0623-9 · Cited by 452 · see citing works

Precision diagnostics: moving towards protein biomarker signatures of clinical utility in cancer

Borrebaeck, C. A. K. (2017) · Nature reviews. Cancer · doi:10.1038/nrc.2016.153 · Cited by 435 · see citing works

Near‐Infrared Light‐Triggered, Targeted Drug Delivery to Cancer Cells by Aptamer Gated Nanovehicles

Yang, X., Liu, X., Liu, Z., Pu, F., Ren, J., & Qu, X. (2012) · Advanced Materials · doi:10.1002/adma.201104797 · Cited by 424 · see citing works

Recent progress in development of siRNA delivery vehicles for cancer therapy

Kim, H. J., Kim, A., Miyata, K., & Kataoka, K. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2016.06.011 · Cited by 424 · see citing works

An electronic nose in the discrimination of patients with non-small cell lung cancer and COPD

Dragonieri, S., Annema, J. T., Schot, R., van der Schee, M. P., Spanevello, A., Carratù, P., Resta, O., Rabe, K. F., & Sterk, P. J. (2008) · Lung Cancer · doi:10.1016/j.lungcan.2008.08.008 · Cited by 407 · see citing works

Thermosensitive liposomes for localized delivery and triggered release of chemotherapy

Ta, T., & Porter, T. M. (2013) · Journal of Controlled Release · doi:10.1016/j.jconrel.2013.03.036 · Cited by 404 · see citing works

CRISPR-Cas9-mediated multiplex gene editing in CAR-T cells

Liu, X., Zhang, Y., Cheng, C., Cheng, A. W., Zhang, X., Li, N., Xia, C., Wei, X., Liu, X., & Wang, H. (2016) · Cell Research · doi:10.1038/cr.2016.142 · Cited by 396 · see citing works

Acoustic reporter genes for noninvasive imaging of microorganisms in mammalian hosts

Bourdeau, R. W., Lee‐Gosselin, A., Lakshmanan, A., Farhadi, A., Kumar, S. R., Nety, S. P., & Shapiro, M. G. (2018) · Nature · doi:10.1038/nature25021 · Cited by 386 · see citing works

Potential markers that complement expression of CA125 in epithelial ovarian cancer

Rosen, D. G., Wang, L., Atkinson, J. N., Yu, Y., Lu, K. H., Diamandis, E. P., Hellström, I., Mok, S. C., Liu, J., & Bast, R. C. (2005) · Gynecologic Oncology · doi:10.1016/j.ygyno.2005.06.040 · Cited by 381 · see citing works

Oxford Nanopore sequencing, hybrid error correction, and de novo assembly of a eukaryotic genomePreprint

Goodwin, S., Gurtowski, J., Ethe-Sayers, S., Deshpande, P., Schatz, M. C., & McCombie, W. R. (2015) · bioRxiv · doi:10.1101/gr.191395.115 · Cited by 377 · see citing works

High-sensitivity nanosensors for biomarker detection

Swierczewska, M., Liu, G., Lee, S., & Chen, X. S. (2011) · Chemical Society Reviews · doi:10.1039/c1cs15238f · Cited by 363 · see citing works

Machine Learning in Medical Imaging

Wernick, M. N., Yang, Y., Brankov, J. G., Yourganov, G., & Strother, S. C. (2010) · IEEE Signal Processing Magazine · doi:10.1109/msp.2010.936730 · Cited by 356 · see citing works

DNA Base Detection Using a Single-Layer MoS2

Farimani, A. B., Min, K., & Aluru, N. R. (2014) · ACS Nano · doi:10.1021/nn5029295 · Cited by 353 · see citing works

Predicting therapeutic nanomedicine efficacy using a companion magnetic resonance imaging nanoparticle

Miller, M. A., Gadde, S., Pfirschke, C., Engblom, C., Sprachman, M. M., Köhler, R. H., Yang, K. S., Laughney, A. M., Wojtkiewicz, G. R., Kamaly, N., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aac6522 · Cited by 349 · see citing works

Performance limits of nanobiosensors

Nair, P. R., & Alam, M. A. (2006) · Applied Physics Letters · doi:10.1063/1.2211310 · Cited by 346 · see citing works

DNA sequencing with nanopores

Schneider, G. F., & Dekker, C. (2012) · Nature Biotechnology · doi:10.1038/nbt.2181 · Cited by 338 · see citing works

Barcoded nanoparticles for high throughput in vivo discovery of targeted therapeutics

Dahlman, J. E., Kauffman, K. J., Xing, Y., Shaw, T. E., Mir, F. F., Dlott, C. C., Langer, R., Anderson, D. G., & Wang, E. T. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1620874114 · Cited by 335 · see citing works

Covalently Functionalized Cobalt Nanoparticles as a Platform for Magnetic Separations in Organic Synthesis

Grass, R. N., Athanassiou, E. K., & Stark, W. J. (2007) · Angewandte Chemie International Edition · doi:10.1002/anie.200700613 · Cited by 330 · see citing works

Gold‐Nanoshelled Microcapsules: A Theranostic Agent for Ultrasound Contrast Imaging and Photothermal Therapy

Ke, H., Wang, J., Dai, Z., Jin, Y., Qu, E., Xing, Z., Guo, C., Yue, X., & Liu, J. (2011) · Angewandte Chemie International Edition · doi:10.1002/anie.201008286 · Cited by 327 · see citing works

Multiplex Serum Cytokine Immunoassay Using Nanoplasmonic Biosensor Microarrays

Chen, P., Chung, M. T., McHugh, W. M., Nidetz, R., Li, Y., Fu, J., Cornell, T. T., Shanley, T. P., & Kurabayashi, K. (2015) · ACS Nano · doi:10.1021/acsnano.5b00396 · Cited by 322 · see citing works

A modular platform for targeted RNAi therapeutics

Kedmi, R., Veiga, N., Ramishetti, S., Goldsmith, M., Rosenblum, D., Dammes, N., Hazan-Halevy, I., Nahary, L., Leviatan-Ben-Arye, S., Harlev, M., et al. (2018) · Nature Nanotechnology · doi:10.1038/s41565-017-0043-5 · Cited by 320 · see citing works

LSPR Chip for Parallel, Rapid, and Sensitive Detection of Cancer Markers in Serum

Aćimović, S. S., Ortega, M. A., Sanz, V., Berthelot, J., Garcia-Cordero, J. L., Renger, J., Maerkl, S. J., Kreuzer, M. P., & Quidant, R. (2014) · Nano Letters · doi:10.1021/nl500574n · Cited by 310 · see citing works

Predicting clinical response to anticancer drugs using an ex vivo platform that captures tumour heterogeneity

Majumder, B., Ulaganathan, B., Thiyagarajan, S., Radhakrishnan, P., Narasimhan, H., Dhandapani, M., Brijwani, N., Pinto, D. D., Prasath, A., Shanthappa, B., et al. (2015) · Nature Communications · doi:10.1038/ncomms7169 · Cited by 307 · see citing works

Ultrasound triggered release of cisplatin from liposomes in murine tumors

Schroeder, A., Honen, R., Turjeman, K., Gabizón, A., Kost, J., & Barenholz, Y. (2009) · Journal of Controlled Release · doi:10.1016/j.jconrel.2009.03.007 · Cited by 305 · see citing works

Identifying single bases in a DNA oligomer with electron tunnelling

Huang, S., He, J. M., Chang, S., Zhang, P., Liang, F., Li, S., Tuchband, M. R., Fuhrmann, A., Ros, R., & Lindsay, S. M. (2010) · Nature Nanotechnology · doi:10.1038/nnano.2010.213 · Cited by 299 · see citing works

In silico prescription of anticancer drugs to cohorts of 28 tumor types reveals targeting opportunities

Rubio-Perez, C., Tamborero, D., Schroeder, M. P., Antolín, A. A., Deu-Pons, J., Perez-Llamas, C., Mestres, J., Gonzalez-Perez, A., & Lopez-Bigas, N. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.02.007 · Cited by 296 · see citing works

Hyaluronidase Embedded in Nanocarrier PEG Shell for Enhanced Tumor Penetration and Highly Efficient Antitumor Efficacy

Zhou, H., Fan, Z., Deng, J., Lemons, P. K., Arhontoulis, D. C., Bowne, W. B., & Cheng, H. (2016) · Nano Letters · doi:10.1021/acs.nanolett.6b00820 · Cited by 294 · see citing works

Novel optical nanosensors for probing and imaging live cells

Kneipp, J., Kneipp, H., Wittig, B., & Kneipp, K. D. (2009) · Nanomedicine Nanotechnology Biology and Medicine · doi:10.1016/j.nano.2009.07.009 · Cited by 291 · see citing works

Designing Nanoparticle Translocation through Membranes by Computer Simulations

Ding, H., Tian, W., & Ma, Y. (2012) · ACS Nano · doi:10.1021/nn2038862 · Cited by 290 · see citing works

Exhaled volatile organic compounds identify patients with colorectal cancer

Altomare, D. F., Lena, M. D., Porcelli, F., de Trizio, L., Travaglio, E., Tutino, M., Dragonieri, S., Memeo, V., & de Gennaro, G. (2012) · British journal of surgery · doi:10.1002/bjs.8942 · Cited by 289 · see citing works

Boron Nitride Nanopores: Highly Sensitive DNA Single‐Molecule Detectors

Liu, S., Lu, B., Zhao, Q., Li, J., Gao, T., Chen, Y., Zhang, Y., Liu, Z., Fan, Z., Yang, F., et al. (2013) · Advanced Materials · doi:10.1002/adma.201301336 · Cited by 281 · see citing works

Performance of the Levenberg–Marquardt neural network training method in electronic nose applications

Kermani, B. G., Schiffman, S. S., & Nagle, H. T. (2005) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2005.01.008 · Cited by 279 · see citing works

Detection of cancer biomarkers in serum using a hybrid mechanical and optoplasmonic nanosensor

Kosaka, P. M., Pini, V., Ruz, J. J., Silva, R. A., González, M. U., Ramos, D., Calleja, M., & Tamayo, J. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2014.250 · Cited by 277 · see citing works

Folate-mediated delivery of macromolecular anticancer therapeutic agents

Lu, Y. J., & Low, P. S. (2012) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.09.020 · Cited by 266 · see citing works

Bio-inspired engineering of cell- and virus-like nanoparticles for drug delivery

Parodi, A., Molinaro, R., Sushnitha, M., Evangelopoulos, M., Martinez, J. O., Arrighetti, N., Corbo, C., & Tasciotti, E. (2017) · Biomaterials · doi:10.1016/j.biomaterials.2017.09.020 · Cited by 265 · see citing works

Ultrasensitive, Multiplexed Detection of Cancer Biomarkers Directly in Serum by Using a Quantum Dot-Based Microfluidic Protein Chip

Hu, M. Y., Yan, J., He, Y., Lu, H., Weng, L., Song, S., Fan, C., & Wang, L. (2009) · ACS Nano · doi:10.1021/nn901404h · Cited by 260 · see citing works

Theoretical and Computational Investigations of Nanoparticle–Biomembrane Interactions in Cellular Delivery

Ding, H., & Ma, Y. (2014) · Small · doi:10.1002/smll.201401943 · Cited by 259 · see citing works

Single-molecule spectroscopy of amino acids and peptides by recognition tunnelling

Zhao, Y., Ashcroft, B. A., Zhang, P., Liu, H., Sen, S., Song, W., Im, J., Gyarfas, B., Manna, S. K., Biswas, S., et al. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2014.54 · Cited by 258 · see citing works

Stimuli-Responsive Programmed Specific Targeting in Nanomedicine

Wang, S., Huang, P., & Chen, X. S. (2016) · ACS Nano · doi:10.1021/acsnano.6b00870 · Cited by 252 · see citing works

Pharmacogenomics, pharmacokinetics and pharmacodynamics: interaction with biological differences between men and women

Franconi, F., & Campesi, I. (2013) · British Journal of Pharmacology · doi:10.1111/bph.12362 · Cited by 250 · see citing works

Tumor Heterogeneity and Personalized Medicine

Longo, D. L. (2012) · New England Journal of Medicine · doi:10.1056/nejme1200656 · Cited by 246 · see citing works

Decoding DNA, RNA and peptides with quantum tunnelling

Ventra, M. D., & Taniguchi, M. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2015.320 · Cited by 241 · see citing works

Artificial sensing intelligence with silicon nanowires for ultraselective detection in the gas phase

Wang, B., Cancilla, J. C., Torrecilla, J. S., & Haick, H. (2014) · Nano Letters · doi:10.1021/nl404335p · Cited by 236 · see citing works

Peptide-linked molecular beacons for efficient delivery and rapid mRNA detection in living cells

Nitin, N. (2004) · Nucleic Acids Research · doi:10.1093/nar/gnh063 · Cited by 231 · see citing works

Plasmonic Nanosensors for Imaging Intracellular Biomarkers in Live Cells

Kumar, S., Harrison, N., Richards-Kortum, R. R., & Sokolov, K. (2007) · Nano Letters · doi:10.1021/nl070365i · Cited by 231 · see citing works

Nanoparticles for Imaging: top or Flop?

Kiessling, F., Mertens, M. E., Grimm, J., & Lammers, T. (2014) · Radiology · doi:10.1148/radiol.14131520 · Cited by 228 · see citing works

The use of theranostic gadolinium-based nanoprobes to improve radiotherapy efficacy

Sancey, L., Lux, F., Kotb, S., Roux, S., Dufort, S., Bianchi, A., Crémillieux, Y., Fries, P., Coll, J., Rodriguez‐Lafrasse, C., et al. (2014) · British Journal of Radiology · doi:10.1259/bjr.20140134 · Cited by 223 · see citing works

Single-molecule DNA sequencing technologies for future genomics research

Gupta, P. K. (2008) · Trends in biotechnology · doi:10.1016/j.tibtech.2008.07.003 · Cited by 219 · see citing works

Electrically Actuatable Smart Nanoporous Membrane for Pulsatile Drug Release

Jeon, G., Yang, S. Y., Byun, J., & Kim, J. K. (2011) · Nano Letters · doi:10.1021/nl104329y · Cited by 218 · see citing works

Quantitative self-assembly prediction yields targeted nanomedicines

Shamay, Y., Shah, J., Işık, M., Mizrachi, A., Leibold, J., Tschaharganeh, D. F., Roxbury, D., Budhathoki-Uprety, J., Nawaly, K., Sugarman, J. L., et al. (2018) · Nature Materials · doi:10.1038/s41563-017-0007-z · Cited by 216 · see citing works

Glycosylation-Based Serum Biomarkers for Cancer Diagnostics and Prognostics

Kirwan, A., Utratna, M., O'Dwyer, M. E., Joshi, L., & Kilcoyne, M. (2015) · BioMed Research International · doi:10.1155/2015/490531 · Cited by 215 · see citing works

The Road from Discovery to Clinical Diagnostics: Lessons Learned from the First FDA-ClearedIn VitroDiagnostic Multivariate Index Assay of Proteomic Biomarkers

Zhang, Z., & Chan, D. W. (2010) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-10-0580 · Cited by 208 · see citing works

Exploration of the nanomedicine-design space with high-throughput screening and machine learning

Yamankurt, G., Berns, E. J., Xue, A., Lee, A., Bagheri, N., Mrksich, M., & Mirkin, C. A. (2019) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0351-1 · Cited by 203 · see citing works

Silencing or Stimulation? siRNA Delivery and the Immune System

Whitehead, K. A., Dahlman, J. E., Langer, R., & Anderson, D. G. (2011) · Annual Review of Chemical and Biomolecular Engineering · doi:10.1146/annurev-chembioeng-061010-114133 · Cited by 192 · see citing works

Modeling Particle Shape-Dependent Dynamics in Nanomedicine

Shah, S., Liu, Y., Hu, W. W., & Gao, J. (2011) · Journal of Nanoscience and Nanotechnology · doi:10.1166/jnn.2011.3536 · Cited by 190 · see citing works

Multiparametric approach for the evaluation of lipid nanoparticles for siRNA delivery

Alabi, C. A., Love, K. T., Sahay, G., Yin, H., Luly, K. M., Langer, R., & Anderson, D. G. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1306529110 · Cited by 188 · see citing works

Point-of-care diagnostics for noncommunicable diseases using synthetic urinary biomarkers and paper microfluidics

Warren, A., Kwong, G. A., Wood, D. K., Lin, K., & Bhatia, S. N. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1314651111 · Cited by 187 · see citing works

Label-Free Detection of Single Protein Molecules and Protein−Protein Interactions Using Synthetic Nanopores

Han, A., Creus, M., Schürmann, G., Linder, V., Ward, T. R., de Rooij, N. F., & Staufer, U. (2008) · Analytical Chemistry · doi:10.1021/ac7025207 · Cited by 180 · see citing works

Pharmacokinetics and tumor dynamics of the nanoparticle IT-101 from PET imaging and tumor histological measurements

Schluep, T., Hwang, J., Hildebrandt, I. J., Czernin, J. G., Choi, C. H. J., Alabi, C. A., Mack, B. C., & Davis, M. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905487106 · Cited by 169 · see citing works

Multiplex Detection of Protease Activity with Quantum Dot Nanosensors Prepared by Intein-Mediated Specific Bioconjugation

Xia, Z., Xing, Y., So, M., Koh, A. L., Sinclair, R., & Rao, J. (2008) · Analytical Chemistry · doi:10.1021/ac801562f · Cited by 168 · see citing works

RNAi-based nanomedicines for targeted personalized therapy

Daka, A., & Peer, D. (2012) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.08.014 · Cited by 168 · see citing works

Self-Healable Sensors Based Nanoparticles for Detecting Physiological Markers via Skin and Breath: Toward Disease Prevention via Wearable Devices

Jin, H., Huynh, T.-P., & Haick, H. (2016) · Nano Letters · doi:10.1021/acs.nanolett.6b01066 · Cited by 167 · see citing works

Sequence characteristics of functional siRNAs

Jagla, B., Aulner, N., KELLY, P. D., Song, D. Y., Volchuk, A., Zatorski, A., SHUM, D., Mayer, T. U., Angelis, D. A. D., Ouerfelli, O., et al. (2005) · RNA · doi:10.1261/rna.7275905 · Cited by 161 · see citing works

UNSUPERVISED FEATURE CONSTRUCTION AND KNOWLEDGE EXTRACTION FROM GENOME-WIDE ASSAYS OF BREAST CANCER WITH DENOISING AUTOENCODERS

Tan, J., Ung, M. H., Cheng, C., & Greene, C. S. (2014) · Pacific Symposium on Biocomputing (PSB) · doi:10.1142/9789814644730_0014 · Cited by 152 · see citing works

Beyond the Capture of Circulating Tumor Cells: Next‐Generation Devices and Materials

Green, B. J., Safaei, T. S., Mepham, A. H., Labib, M., Mohamadi, R. M., & Kelley, S. O. (2015) · Angewandte Chemie International Edition · doi:10.1002/anie.201505100 · Cited by 151 · see citing works

Theranostic barcoded nanoparticles for personalized cancer medicine

Yaari, Z. A., da Silva, D., Zinger, A., Goldman, E., Kajal, A., Tshuva, R., Barak, E., Dahan, N., Hershkovitz, D., Goldfeder, M., et al. (2016) · Nature Communications · doi:10.1038/ncomms13325 · Cited by 147 · see citing works

Design and Development of Biomimetic Nanovesicles Using a Microfluidic Approach

Molinaro, R., Evangelopoulos, M., Hoffman, J. R., Corbo, C., Taraballi, F., Martinez, J. O., Hartman, K. A., Cosco, D., Costa, G., Romeo, I., et al. (2018) · Advanced Materials · doi:10.1002/adma.201702749 · Cited by 144 · see citing works

A nanomaterial-based breath test for short-term follow-up after lung tumor resection

Broza, Y. Y., Kremer, R., Tisch, U., Gevorkyan, A., Shiban, A., Best, L. A., & Haick, H. (2012) · Nanomedicine Nanotechnology Biology and Medicine · doi:10.1016/j.nano.2012.07.009 · Cited by 138 · see citing works

Ovarian malignancy risk stratification of the adnexal mass using a multivariate index assay

Bristow, R. E., Smith, A., Zhang, Z., Chan, D. W., Crutcher, G., Fung, E. T., & Munroe, D. G. (2012) · Gynecologic Oncology · doi:10.1016/j.ygyno.2012.11.022 · Cited by 137 · see citing works

Multi-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli

Kim, M., Rai, N., Zorraquino, V., & Tagkopoulos, I. (2016) · Nature Communications · doi:10.1038/ncomms13090 · Cited by 137 · see citing works

Computational model for nanocarrier binding to endothelium validated using in vivo, in vitro, and atomic force microscopy experiments

Liu, J., Weller, G. E. R., Zern, B. J., AYYASWAMY, P. S., Eckmann, D. M., Muzykantov, V. R., & Radhakrishnan, R. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006611107 · Cited by 129 · see citing works

Nanoghosts as a Novel Natural Nonviral Gene Delivery Platform Safely Targeting Multiple Cancers

Kaneti, L., Bronshtein, T., Dayan, N. M., Kovregina, I., Letko-Khait, N., Lupu-Haber, Y., Fliman, M., Schoen, B., Kaneti, G., & Machluf, M. (2016) · Nano Letters · doi:10.1021/acs.nanolett.5b04237 · Cited by 113 · see citing works

Clinical decision support of radiotherapy treatment planning: A data-driven machine learning strategy for patient-specific dosimetric decision making

Valdés, G., Simone, C. B., Chen, J., Lin, A., Yom, S. S., Pattison, A. J., Carpenter, C. M., & Solberg, T. D. (2017) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2017.10.014 · Cited by 111 · see citing works

Effect of Cell Sex on Uptake of Nanoparticles: The Overlooked Factor at the Nanobio Interface

Serpooshan, V., Sheibani, S., Pushparaj, P., Wojcik, M., Jang, A. Y., Santoso, M. R., Jang, J. H., Huang, H., Safavi‐Sohi, R., Haghjoo, N., et al. (2018) · ACS Nano · doi:10.1021/acsnano.7b06212 · Cited by 107 · see citing works

Improved fabrication of zero-mode waveguides for single-molecule detection

Foquet, M., Samiee, K. T., Kong, X., Chauduri, B. P., Lundquist, P. M., Turner, S., Freudenthal, J., & Roitman, D. B. (2008) · Journal of Applied Physics · doi:10.1063/1.2831366 · Cited by 104 · see citing works

Oral Fluid Nanosensor Test (OFNASET) with Advanced Electrochemical‐Based Molecular Analysis Platform

Gau, V., & Wong, D. T. (2007) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1384.005 · Cited by 100 · see citing works

Fraction size in radiation treatment for breast conservation in early breast cancer

James, M. L., Lehman, M., Hider, P. N., Jeffery, M., Francis, D. P., & Hickey, B. E. (2008) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003860.pub2 · Cited by 98 · see citing works

CRISPR-Cas9 therapeutics in cancer: promising strategies and present challenges

Yi, L., & Li, J. (2016) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2016.09.002 · Cited by 96 · see citing works

Predict drug permeability to blood–brain-barrier from clinical phenotypes: drug side effects and drug indications

Gao, Z., Chen, Y., Cai, X., & Xu, R. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw713 · Cited by 95 · see citing works

Personalized Whole-Cell Kinetic Models of Metabolism for Discovery in Genomics and Pharmacodynamics

Bordbar, A., McCloskey, D., Zielinski, D. C., Sonnenschein, N., Jamshidi, N., & Palsson, B. Ø. (2015) · Cell Systems · doi:10.1016/j.cels.2015.10.003 · Cited by 94 · see citing works

Towards better modelling of drug-loading in solid lipid nanoparticles: Molecular dynamics, docking experiments and Gaussian Processes machine learning

Hathout, R. M., & Metwally, A. A. (2016) · European Journal of Pharmaceutics and Biopharmaceutics · doi:10.1016/j.ejpb.2016.07.019 · Cited by 94 · see citing works

Simultaneous Detection of Circulating OncomiRs from Body Fluids for Prostate Cancer Staging Using Nanographene Oxide

Hizir, M. S., Balcioglu, M., Rana, M., Robertson, N., & Yigit, M. V. (2014) · ACS Applied Materials & Interfaces · doi:10.1021/am504190a · Cited by 91 · see citing works

The promises and challenges of solid-state sequencing

Lindsay, S. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2016.9 · Cited by 88 · see citing works

A homogeneous fluorescent sensor for human serum albumin

Wang, R. E., Tian, L., & Chang, Y. (2012) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2011.12.035 · Cited by 82 · see citing works

nanoLAB: An ultraportable, handheld diagnostic laboratory for global health

Gaster, R. S., Hall, D. A., & Wang, S. X. (2011) · Lab on a Chip · doi:10.1039/c0lc00534g · Cited by 81 · see citing works

Nanoinformatics: a new area of research in nanomedicine

Maojo, V., Fritts, de la Iglesia, D., Cachau, Garcia-Remesal, Mitchell, & Kulikowski (2012) · International Journal of Nanomedicine · doi:10.2147/ijn.s24582 · Cited by 80 · see citing works

The theranostic path to personalized nanomedicine

Theek, B., Rizzo, L. Y., Ehling, J., Kiessling, F. M., & Lammers, T. (2014) · Clinical and Translational Imaging · doi:10.1007/s40336-014-0051-5 · Cited by 71 · see citing works

OncodriveROLE classifies cancer driver genes in loss of function and activating mode of action

Schroeder, M. P., Rubio-Pérez, C., Tamborero, D., González-Pérez, A., & López-Bigas, N. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu467 · Cited by 58 · see citing works

Modeling and closed‐loop control of particle size and initial burst of PLGA biodegradable nanoparticles for targeted drug delivery

Baghaei, B., Saeb, M. R., Jafari, S. H., Khonakdar, H. A., Rezaee, B., Goodarzi, V., & Mohammadi, Y. (2017) · Journal of Applied Polymer Science · doi:10.1002/app.45145 · Cited by 58 · see citing works

Remote-loading of liposomes with manganese-52 and in vivo evaluation of the stabilities of 52Mn-DOTA and 64Cu-DOTA using radiolabelled liposomes and PET imaging

Jensen, A. I., Severin, G. W., Hansen, A. E., Fliedner, F. P., Eliasen, R., Parhamifar, L., Kjær, A., Andresen, T. L., & Henriksen, J. R. (2017) · Journal of Controlled Release · doi:10.1016/j.jconrel.2017.11.006 · Cited by 54 · see citing works

Computer-aided design of liposomal drugs: In silico prediction and experimental validation of drug candidates for liposomal remote loading

Cern, A., Barenholz, Y., Tropsha, A., & Goldblum, A. (2013) · Journal of Controlled Release · doi:10.1016/j.jconrel.2013.10.029 · Cited by 52 · see citing works

Tracking antibiotic resistance

Beatson, S. A., & Walker, M. J. (2014) · Science · doi:10.1126/science.1260471 · Cited by 51 · see citing works

Robust long-read native DNA sequencing using the ONT CsgG Nanopore system

Carter, J.-M., & Hussain, S. (2018) · Wellcome Open Research · doi:10.12688/wellcomeopenres.11246.3 · Cited by 44 · see citing works

ellipsoidFN: a tool for identifying a heterogeneous set of cancer biomarkers based on gene expressions

Ren, X., Wang, Y., Chen, L., Zhang, X.-S., & Jin, Q. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1288 · Cited by 42 · see citing works

In silico models for nanotoxicity evaluation and prediction at the blood-brain barrier level: A mini-review

Shityakov, S., Roewer, N., Broscheit, J., & Förster, C. Y. (2017) · Computational Toxicology · doi:10.1016/j.comtox.2017.02.003 · Cited by 42 · see citing works

Improving model predictions for RNA interference activities that use support vector machine regression by combining and filtering features

Peek, A. S. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-182 · Cited by 40 · see citing works

In Vitro Discrimination of Tumor Cell Lines with an Electronic Nose

Gendron, K. B., Hockstein, N. G., Thaler, E. R., Vachani, A., & Hanson, C. W. (2007) · Otolaryngology · doi:10.1016/j.otohns.2007.02.005 · Cited by 40 · see citing works

Using machine learning to model dose–response relationships

Linden, A., Yarnold, P. R., & Nallamothu, B. K. (2016) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.12573 · Cited by 30 · see citing works

In silico investigation of propofol binding sites in human serum albumin using explicit and implicit solvation models

Shityakov, S., Roewer, N., Förster, C. Y., & Broscheit, J. (2017) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2017.06.004 · Cited by 28 · see citing works

An image representation based convolutional network for DNA classificationPreprint

Yin, B., Balvert, M., Zambrano, D., Schönhuth, A., & Bohté, S. M. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1806.04931 · Cited by 27 · see citing works

Prediction of siRNA knockdown efficiency using artificial neural network models

Ge, G., Wong, G. W., & Luo, B. (2005) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2005.08.147 · Cited by 25 · see citing works

Rapid phenotyping of cancer stem cells using multichannel nanosensor arrays

Geng, Y., Goel, H. L., Le, N. D. B., Yoshii, T., Mout, R., Tonga, G. Y., Amante, J. J., Mercurio, A. M., & Rotello, V. M. (2018) · Nanomedicine Nanotechnology Biology and Medicine · doi:10.1016/j.nano.2018.05.009 · Cited by 24 · see citing works

Nanoparticles that communicate in vivo to amplify tumour targeting

von Maltzahn, G., Park, J., Lin, K. Y.-M., et al. (2011) · Nature Materials · doi:10.1038/nmat3049 · Cited by 18 · see citing works

Anti-Egfr Therapy in Colorectal Cancer: How to Choose The Right Patient

Meriggi, F. A., Biasi, B. D., Abeni, C., & Zaniboni, A. (2009) · Current Drug Targets · doi:10.2174/138945009789577891 · Cited by 17 · see citing works

Robust long-read native DNA sequencing using the ONT CsgG Nanopore system

Carter, J.-M., & Hussain, S. (2017) · Wellcome Open Research · doi:10.12688/wellcomeopenres.11246.1 · Cited by 17 · see citing works

Smart nanoparticles for cancer therapy

Sun, L., Liu, H., Ye, Y., Lei, Y., Islam, R., Tan, S., Tong, R., Miao, Y.-B., & Cai, L. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01642-x · Cited by 1,073 · see citing works

Nanodelivery of nucleic acids

Mendes, B. B., Conniot, J., Avital, A., Yao, D., Jiang, X., Zhou, X., Sharf-Pauker, N., Xiao, Y., Adir, O., Liang, H., et al. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00104-y · Cited by 719 · see citing works

Emerging Applications of Nanotechnology in Healthcare and Medicine

Malik, S., Muhammad, K., & Waheed, Y. (2023) · Molecules · doi:10.3390/molecules28186624 · Cited by 610 · see citing works

Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine

Serrano, D. R., Luciano, F. C., Anaya, B. J., Öngoren, B., Kara, A., Molina, G., Ramirez, B. I., Sánchez-Guirales, S. A., Simon, J. A., Tomietto, G., et al. (2024) · Pharmaceutics · doi:10.3390/pharmaceutics16101328 · Cited by 558 · see citing works

Multifunctional biomolecule nanostructures for cancer therapy

Wang, J., Li, Y., & Nie, G. (2021) · Nature Reviews Materials · doi:10.1038/s41578-021-00315-x · Cited by 505 · see citing works

Clinical translation of nanomedicines: Challenges, opportunities, and keys

Younis, M. A., Tawfeek, H. M., Abdellatif, A. A. H., Abdel-Aleem, J. A., & Harashima, H. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.114083 · Cited by 494 · see citing works

Artificial intelligence (AI) and big data in cancer and precision oncology

Dlamini, Z., Francies, F. Z., Hull, R., & Marima, R. M. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.08.019 · Cited by 412 · see citing works

Tailoring Materials for Modulation of Macrophage Fate

Li, J., Jiang, X., Li, H., Gelinsky, M., & Gu, Z. (2021) · Advanced Materials · doi:10.1002/adma.202004172 · Cited by 402 · see citing works

Brief update on endocytosis of nanomedicines

Patel, S., Kim, J., Herrera‐Barrera, M., Mukherjee, A., Kabanov, A. V., & Sahay, G. (2019) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2019.08.004 · Cited by 402 · see citing works

Advancements in nanomaterials for nanosensors: a comprehensive review

Darwish, M. A., Abd‐Elaziem, W., Elsheikh, A. H., & Zayed, A. A. A. (2024) · Nanoscale Advances · doi:10.1039/d4na00214h · Cited by 371 · see citing works

Current approaches of nanomedicines in the market and various stage of clinical translation

Shan, X., Gong, X., Li, J., Wen, J., Li, Y., & Zhang, Z. (2022) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2022.02.025 · Cited by 342 · see citing works

The Importance of Animal Models in Biomedical Research: Current Insights and Applications

Domínguez-Oliva, A., Hernández-Ávalos, I., Martı́nez-Burnes, J., Olmos-Hernández, A. S., Verduzco-Mendoza, A., & Mota‐Rojas, D. (2023) · Animals · doi:10.3390/ani13071223 · Cited by 297 · see citing works

Blockchain and Artificial Intelligence Technology in E-Health

Tagde, P., Tagde, S., Bhattacharya, T., Tagde, P., Chopra, H., Akter, R., Kaushik, D., & Rahman, M. H. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-16223-0 · Cited by 281 · see citing works

Cancer nanotechnology: current status and perspectives

Kemp, J. A., & Kwon, Y. J. (2021) · Nano Convergence · doi:10.1186/s40580-021-00282-7 · Cited by 276 · see citing works

Artificial intelligence aids in development of nanomedicines for cancer management

Tan, P., Chen, X., Zhang, H., Wei, Q., & Luo, K. (2023) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2023.01.005 · Cited by 254 · see citing works

Artificial Intelligence in Medical Sensors for Clinical Decisions

Haick, H., & Tang, N. (2021) · ACS Nano · doi:10.1021/acsnano.1c00085 · Cited by 231 · see citing works

Applications of machine learning techniques for enhancing nondestructive food quality and safety detection

Lin, Y., Ma, J., Wang, Q., & Sun, D. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2131725 · Cited by 222 · see citing works

Nanoparticles and convergence of artificial intelligence for targeted drug delivery for cancer therapy: Current progress and challenges

Das, K. P., & Chandra, J. (2023) · Frontiers in Medical Technology · doi:10.3389/fmedt.2022.1067144 · Cited by 218 · see citing works

Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer

Biswas, N., & Chakrabarti, S. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.588221 · Cited by 217 · see citing works

Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence

Baccour, E., Mhaisen, N., Abdellatif, A. A., Erbad, A., Mohamed, A. M. S., Hamdi, M., & Guizani, M. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3200740 · Cited by 209 · see citing works

3D-printed microrobots from design to translation

Dabbagh, S. R., Sarabi, M. R., Birtek, M. T., Seyfi, S., Sitti, M., & Taşoğlu, S. (2022) · Nature Communications · doi:10.1038/s41467-022-33409-3 · Cited by 190 · see citing works

Artificial intelligence for personalized nanomedicine; from material selection to patient outcomes

Mazumdar, H., Khondakar, K. R., Das, S., Halder, A., & Kaushik, A. K. (2024) · Expert Opinion on Drug Delivery · doi:10.1080/17425247.2024.2440618 · Cited by 176 · see citing works

Multi‐Responsive Biodegradable Cationic Nanogels for Highly Efficient Treatment of Tumors

Li, X., Sun, H., Li, H., Hu, C., Luo, Y., Shi, X., & Pich, A. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202100227 · Cited by 165 · see citing works

Artificial intelligence revolutionizing drug development: Exploring opportunities and challenges

Tiwari, P. C., Pal, R., Chaudhary, M. J., & Nath, R. (2023) · Drug Development Research · doi:10.1002/ddr.22115 · Cited by 162 · see citing works

Nanomedicines for cardiovascular disease

Smith, B. R., & Edelman, E. R. (2023) · Nature Cardiovascular Research · doi:10.1038/s44161-023-00232-y · Cited by 153 · see citing works

Machine learning for nanoplasmonics

Masson, J., Biggins, J. S., & Ringe, E. (2023) · Nature Nanotechnology · doi:10.1038/s41565-022-01284-0 · Cited by 151 · see citing works

Nanomaterials for photothermal and photodynamic cancer therapy

Nasseri, B., Alizadeh, E., Bani, F., Davaran, S., Akbarzadeh, A., Rabiee, N., Bahadori, A., Ziaei, M., Bagherzadeh, M., Saeb, M. R., et al. (2022) · Applied Physics Reviews · doi:10.1063/5.0047672 · Cited by 145 · see citing works

Targeting regulated cell death (RCD) with small-molecule compounds in triple-negative breast cancer: a revisited perspective from molecular mechanisms to targeted therapies

Liao, M., Qin, R., Huang, W., Zhu, H.-P., Peng, F., Han, B., & Liu, B. (2022) · Journal of Hematology & Oncology · doi:10.1186/s13045-022-01260-0 · Cited by 144 · see citing works

Nanomaterials-assisted photothermal therapy for breast cancer: State-of-the-art advances and future perspectives

Nag, S., Mitra, O., Tripathi, G., Adur, I., Mohanto, S., Nama, M., Samanta, S., Gowda, B. H. J., Subramaniyan, V., Sundararajan, V., et al. (2024) · Photodiagnosis and Photodynamic Therapy · doi:10.1016/j.pdpdt.2023.103959 · Cited by 132 · see citing works

Next-Generation Immunotherapy: Advancing Clinical Applications in Cancer Treatment

Garg, P. K., Pareek, S., Kulkarni, P., Horne, D., Salgia, R., & Singhal, S. S. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13216537 · Cited by 123 · see citing works

Robotics, microfluidics, nanotechnology and AI in the synthesis and evaluation of liposomes and polymeric drug delivery systems

Egorov, E., Pieters, C., Korach-Rechtman, H., Shklover, J., & Schroeder, A. (2021) · Drug Delivery and Translational Research · doi:10.1007/s13346-021-00929-2 · Cited by 118 · see citing works

Merging data curation and machine learning to improve nanomedicines

Chen, C., Yaari, Z. A., Apfelbaum, E., Grodzinski, P. A., Shamay, Y., & Heller, D. A. (2022) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2022.114172 · Cited by 118 · see citing works

Osteoporosis Remission and New Bone Formation with Mesoporous Silica Nanoparticles

Mora‐Raimundo, P., Lozano, D., Benito, M., Mulero, F., Manzano, M., & Vallet‐Regí, M. (2021) · Advanced Science · doi:10.1002/advs.202101107 · Cited by 115 · see citing works

Rapid and quantitative detection of respiratory viruses using surface-enhanced Raman spectroscopy and machine learning

Yang, Y., Xu, B., Murray, J., Haverstick, J., Chen, X., Tripp, R. A., & Zhao, Y. (2022) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2022.114721 · Cited by 113 · see citing works

Effectiveness of Artificial Intelligence for Personalized Medicine in Neoplasms: A Systematic Review

Rezayi, S., Kalhori, S. R. N., & Saeedi, S. (2022) · BioMed Research International · doi:10.1155/2022/7842566 · Cited by 109 · see citing works

Bridging Nanomanufacturing and Artificial Intelligence—A Comprehensive Review

Nandipati, M., Fatoki, O., & Desai, S. S. (2024) · Materials · doi:10.3390/ma17071621 · Cited by 109 · see citing works

A Review of Advanced Multifunctional Magnetic Nanostructures for Cancer Diagnosis and Therapy Integrated into an Artificial Intelligence Approach

Bharath, G., Sabri, M. A., Hai, A., BANAT, F. A., & Haija, M. A. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15030868 · Cited by 107 · see citing works

Multifunctional Dressing for Wound Diagnosis and Rehabilitation

Tang, N., Zheng, Y., Cui, D., & Haick, H. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202101292 · Cited by 106 · see citing works

Artificial Intelligence-Assisted Design of Nanomedicines for Breast Cancer Diagnosis and Therapy: Advances, Challenges, and Future Directions

Shirzad, M., Shaban, M., Mohammadzadeh, V., Rahdar, A., Fathi‐karkan, S., Hoseini, Z. S., Najafi, M., Kharaba, Z. J., & Aboudzadeh, M. A. (2025) · BioNanoScience · doi:10.1007/s12668-025-01980-w · Cited by 105 · see citing works

Engineered extracellular vesicles as intelligent nanosystems for next-generation nanomedicine

Fan, Z., Jiang, C., Wang, Y., Wang, K., Marsh, J., Zhang, D., Chen, X., & Nie, L. (2022) · Nanoscale Horizons · doi:10.1039/d2nh00070a · Cited by 103 · see citing works

The advancement of artificial intelligence in biomedical research and health innovation: challenges and opportunities in emerging economies

da Silva, R. G. L. (2024) · Globalization and Health · doi:10.1186/s12992-024-01049-5 · Cited by 101 · see citing works

Machine Learning for Precision Breast Cancer Diagnosis and Prediction of the Nanoparticle Cellular Internalization

Alafeef, M., Srivastava, I., & Pan, D. (2020) · ACS Sensors · doi:10.1021/acssensors.0c00329 · Cited by 99 · see citing works

The Role Of Technology In Era 5.0 In The Development Of Arabic Language In The World Of Education

Keshav, M., Julien, L., & Miezel, J. (2022) · Journal International of Lingua and Technology · doi:10.55849/jiltech.v1i2.85 · Cited by 97 · see citing works

Inorganic Nanomaterial‐Mediated Gene Therapy in Combination with Other Antitumor Treatment Modalities

Lin, G., Revia, R. A., & Zhang, M. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202007096 · Cited by 97 · see citing works

Metal-Free Nanoassemblies of Water-Soluble Photosensitizer and Adenosine Triphosphate for Efficient and Precise Photodynamic Cancer Therapy

Li, Z., Li, S., Guo, Y., Yuan, C., Yan, X., & Schanze, K. S. (2021) · ACS Nano · doi:10.1021/acsnano.0c09913 · Cited by 96 · see citing works

Upconverting Nanocarriers Enable Triggered Microtubule Inhibition and Concurrent Ferroptosis Induction for Selective Treatment of Triple-Negative Breast Cancer

Zhu, J., Dai, P., Liu, F., Li, Y., Qin, Y., Yang, Q., Tian, R., Fan, A., Medeiros, S. F., Wang, Z., et al. (2020) · Nano Letters · doi:10.1021/acs.nanolett.0c00502 · Cited by 93 · see citing works

Nanostructured Gas Sensors: From Air Quality and Environmental Monitoring to Healthcare and Medical Applications

Chen, X., Leishman, M. R., Bagnall, D. M., & Nasiri, N. (2021) · Nanomaterials · doi:10.3390/nano11081927 · Cited by 92 · see citing works

Towards revolutionizing precision healthcare: A systematic literature review of artificial intelligence methods in precision medicine

Abbaoui, W., Retal, S., Bhiri, B. E., Kharmoum, N., & Ziti, S. (2024) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2024.101475 · Cited by 92 · see citing works

Nanotechnology development in surgical applications: recent trends and developments

Abaszadeh, F., Ashoub, M. H., Khajouie, G., & Amiri, M. (2023) · European journal of medical research · doi:10.1186/s40001-023-01429-4 · Cited by 91 · see citing works

Robust Superhydrophobic rGO/PPy/PDMS Coatings on a Polyurethane Sponge for Underwater Pressure and Temperature Sensing

Ni, Y., Huang, J., Li, S., Dong, X., Zhu, T., Cai, W., Chen, Z., & Lai, Y. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c17165 · Cited by 90 · see citing works

Artificial intelligence in nanotechnology for treatment of diseases

Heydari, S., Masoumi, N., Esmaeeli, E., Ayyoubzadeh, S. M., Ghorbani‐Bidkorbeh, F., & Ahmadi, M. (2024) · Journal of drug targeting · doi:10.1080/1061186x.2024.2393417 · Cited by 88 · see citing works

Artificial Intelligence‐Based Medical Sensors for Healthcare System

Chen, M., Cui, D., Haick, H., & Tang, N. (2023) · Advanced Sensor Research · doi:10.1002/adsr.202300009 · Cited by 85 · see citing works

Harnessing nanotechnology for cancer treatment

Zhu, J., Lee, H. H., Huang, R., Zhou, J., Zhang, J., Yang, X., Zhou, W., Jiang, W., & Chen, S. (2025) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2024.1514890 · Cited by 84 · see citing works

Nuclear imaging approaches facilitating nanomedicine translation

Pérez‐Medina, C., Teunissen, A. J. P., Kluza, E., Mulder, W. J. M., & van der Meel, R. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.07.017 · Cited by 83 · see citing works

Enhancing Clinical Translation of Cancer Using Nanoinformatics

Soltani, M., Moradi Kashkooli, F., Souri, M., Zare Harofte, S., Harati, T., Khadem, A., Haeri Pour, M., & Raahemifar, K. (2021) · Cancers · doi:10.3390/cancers13102481 · Cited by 82 · see citing works

An Intelligent Nanomachine Guided by DNAzyme Logic System for Precise Chemodynamic Therapy

Wang, Z., Yang, J., Qin, G., Zhao, C., Ren, J., & Qu, X. (2022) · Angewandte Chemie International Edition · doi:10.1002/anie.202204291 · Cited by 82 · see citing works

Illuminating the future of precision cancer surgery with fluorescence imaging and artificial intelligence convergence

Cheng, H., Xu, H.-T., Peng, B., Huang, X., Hu, Y., Zheng, C., & Zhang, Z. (2024) · npj Precision Oncology · doi:10.1038/s41698-024-00699-3 · Cited by 83 · see citing works

Emerging trends in the nanomedicine applications of functionalized magnetic nanoparticles as novel therapies for acute and chronic diseases

Dash, S., Das, T., Patel, P., Panda, P. K., Suar, M., & Verma, S. K. (2022) · Journal of Nanobiotechnology · doi:10.1186/s12951-022-01595-3 · Cited by 79 · see citing works

Intelligent Nanoparticle-Based Dressings for Bacterial Wound Infections

Jiang, L., & Loo, S. C. J. (2020) · ACS Applied Bio Materials · doi:10.1021/acsabm.0c01168 · Cited by 77 · see citing works

Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures

Kuznetsova, V. A., Coogan, Á., Botov, D., Gromova, Y. A., Ushakova, E. V., & Gun’ko, Y. K. (2024) · Advanced Materials · doi:10.1002/adma.202308912 · Cited by 76 · see citing works

Machine Learning‐Enhanced Nanoparticle Design for Precision Cancer Drug Delivery

Wang, Q., Liu, Y., Li, C., Xu, S., Xu, S., & Liu, B. (2025) · Advanced Science · doi:10.1002/advs.202503138 · Cited by 76 · see citing works

Rational strategies for improving the efficiency of design and discovery of nanomedicines

Shan, X., Cai, Y., Zhu, B., Zhou, L., Sun, X., Xu, X., Yin, Q., Wang, D., & Li, Y. (2024) · Nature Communications · doi:10.1038/s41467-024-54265-3 · Cited by 74 · see citing works

Nanotechnology‐Assisted RNA Delivery: From Nucleic Acid Therapeutics to COVID‐19 Vaccines

Rinoldi, C., Zargarian, S. S., Nakielski, P., Li, X., Liguori, A., Petronella, F., Presutti, D., Wang, Q., Costantini, M., Sio, L. D., et al. (2021) · Small Methods · doi:10.1002/smtd.202100402 · Cited by 73 · see citing works

Strategies of Artificial intelligence tools in the domain of nanomedicine

Habeeb, M., You, H. W., Mutheeswaran, U., Kanna, R. K., Hariyadi, & Mishra, S. (2023) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2023.105157 · Cited by 73 · see citing works

Nanoscience in Action: Unveiling Emerging Trends in Materials and Applications

Hughes, K. J., Ganesan, M., Tenchov, R., Iyer, K. A., Ralhan, K., Diaz, L. M. L., Bird, R. E., Ivanov, J. M., & Zhou, Q. A. (2025) · ACS Omega · doi:10.1021/acsomega.4c10929 · Cited by 73 · see citing works

Rapid Detection of SARS-CoV-2 RNA in Human Nasopharyngeal Specimens Using Surface-Enhanced Raman Spectroscopy and Deep Learning Algorithms

Yang, Y., Li, H., Jones, L. P., Murray, J., Haverstick, J., Naikare, H. K., Mosley, Y. C., Tripp, R. A., Ai, B., & Zhao, Y. (2022) · ACS Sensors · doi:10.1021/acssensors.2c02194 · Cited by 71 · see citing works

Nanoparticle Strategies for Treating CNS Disorders: A Comprehensive Review of Drug Delivery and Theranostic Applications

Toader, C., Dumitru, A. V., Eva, L., Șerban, M., Covache-Busuioc, R.-A., & Ciurea, A. V. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252413302 · Cited by 70 · see citing works

Convergence of Nanotechnology and Machine Learning: The State of the Art, Challenges, and Perspectives

Tripathy, A., Patne, A. Y., Mohapatra, S., & Mohapatra, S. S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252212368 · Cited by 69 · see citing works

Nanotechnology in medicine: a double-edged sword for health outcomes

Fortune, N. A., Aimé, A., Raymond, D., & Kumar, S. (2025) · Health Nanotechnology · doi:10.1186/s44301-025-00008-2 · Cited by 69 · see citing works

Detection of heavy metal ions using laser-induced breakdown spectroscopy combined with filter paper modified with PtAg bimetallic nanoparticles

Ma, S., Cao, F., Wen, X., Xu, F., Tian, H., Fu, X., & Dong, D. (2022) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2022.130188 · Cited by 68 · see citing works

Two heads are better than one: Unravelling the potential Impact of Artificial Intelligence in nanotechnology

Naik, G. G., & Jagtap, V. A. (2024) · Nano TransMed · doi:10.1016/j.ntm.2024.100041 · Cited by 67 · see citing works

Microfluidic Nanoparticle Separation for Precision Medicine

Lan, Z., Chen, R., Zou, D., & Zhao, C. (2024) · Advanced Science · doi:10.1002/advs.202411278 · Cited by 67 · see citing works

Dyes Encapsulated Nanoscale Metal–Organic Frameworks for Multimode Temperature Sensing with High Spatial Resolution

Cao, W., Cui, Y., Yang, Y. L., & Qian, G. (2021) · ACS Materials Letters · doi:10.1021/acsmaterialslett.1c00334 · Cited by 66 · see citing works

Cluster Materials as Traceable Antibacterial Agents

Zheng, K., & Xie, J. (2021) · Accounts of Materials Research · doi:10.1021/accountsmr.1c00186 · Cited by 65 · see citing works

Artificial intelligence in smart drug delivery systems: a step toward personalized medicine

Panchpuri, M., Painuli, R., & Kumar, C. (2025) · RSC Pharmaceutics · doi:10.1039/d5pm00089k · Cited by 65 · see citing works

Nanotechnology and Computer Science: Trends and advances

Taha, T. B., Barzinjy, A. A., Hussain, F. H. S., & Nurtayeva, T. (2022) · Memories - Materials Devices Circuits and Systems · doi:10.1016/j.memori.2022.100011 · Cited by 64 · see citing works

Anticarcinogenic Effect of Chitosan Nanoparticles Containing Syzygium aromaticum Essential Oil or Eugenol Toward Breast and Skin Cancer Cell Lines

Valizadeh, A., Khaleghi, A. A., Alipanah, H., Zarenezhad, E., & Osanloo, M. (2021) · BioNanoScience · doi:10.1007/s12668-021-00880-z · Cited by 63 · see citing works

Nanomaterial-Based Repurposing of Macrophage Metabolism and Its Applications

Meng, T., He, D., Han, Z., Shi, R., Wang, Y., Ren, B., Zhang, C., Mao, Z., Luo, G., & Deng, J. (2024) · Nano-Micro Letters · doi:10.1007/s40820-024-01455-9 · Cited by 63 · see citing works

Cancer chemoprevention: signaling pathways and strategic approaches

Ren, J., Yan, G., Yang, L., Kong, L., Guan, Y., Sun, H., Liu, C., Liu, L., Han, Y., & Wang, X. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02167-1 · Cited by 62 · see citing works

Artificial intelligence in the pharmaceutical sector: current scene and future prospect

Kalyane, D., Sanap, G., Paul, D., Shenoy, S., Anup, N., Polaka, S., Tambe, V., & Tekade, R. K. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-814455-8.00003-7 · Cited by 61 · see citing works

Remodeling Tumor Microenvironment by Multifunctional Nanoassemblies for Enhanced Photodynamic Cancer Therapy

Liang, C., Zhang, X., Yang, M., Wang, W., Chen, P., & Dong, X. (2020) · ACS Materials Letters · doi:10.1021/acsmaterialslett.0c00259 · Cited by 60 · see citing works

Regulated cell death‐amplified sonodynamic anti‐tumor immune nanotherapeutics

Zhou, L., Chen, Y., Xie, D., Li, K., Cui, X., Dietrich, C. F., Nussler, A. K., & Zhang, X. (2024) · BMEMat · doi:10.1002/bmm2.12079 · Cited by 58 · see citing works

Peptide-Hitchhiking for the Development of Nanosystems in Glioblastoma

Branco, F., Cunha, J., Mendes, M., Vitorino, C., & Sousa, J. (2024) · ACS Nano · doi:10.1021/acsnano.4c01790 · Cited by 58 · see citing works

Revolutionizing prostate cancer therapy: Artificial intelligence – Based nanocarriers for precision diagnosis and treatment

Shirzad, M., Salahvarzi, A., Razzaq, S., Javid‐Naderi, M. J., Rahdar, A., Fathi‐karkan, S., Ghadami, A., Kharaba, Z. J., & Ferreira, L. F. R. (2025) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2025.104653 · Cited by 58 · see citing works

Differentiation and classification of bacterial endotoxins based on surface enhanced Raman scattering and advanced machine learning

Yang, Y., Xu, B., Haverstick, J., Ibtehaz, N., Muszyński, A., Chen, X., Chowdhury, M. E. H., Zughaier, S. M., & Zhao, Y. (2022) · Nanoscale · doi:10.1039/d2nr01277d · Cited by 57 · see citing works

Energy conversion and optical applications of MXene quantum dots

Safaei, M., & Shishehbore, M. R. (2021) · Journal of Materials Science · doi:10.1007/s10853-021-06428-6 · Cited by 56 · see citing works

Synergistic Cancer Therapies Enhanced by Nanoparticles: Advancing Nanomedicine Through Multimodal Strategies

Mousavi‐kiasary, S. M. S., Senabreh, A., Zandi, A., Pena, R., Cruz, F., Adibi, A., & Hooshmand, N. (2025) · Pharmaceutics · doi:10.3390/pharmaceutics17060682 · Cited by 56 · see citing works

Artificial intelligence-aided optical imaging for cancer theranostics

Xu, M., Chen, Z., Zheng, J., Zhao, Q., & Yuan, Z. (2023) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2023.06.003 · Cited by 55 · see citing works

Optimization of microfluidic synthesis of silver nanoparticles: A generic approach using machine learning

Nathanael, K., Cheng, S. L., Kovalchuk, N. M., Arcucci, R., & Simmons, M. J. H. (2023) · Process Safety and Environmental Protection · doi:10.1016/j.cherd.2023.03.007 · Cited by 54 · see citing works

Green Synthesised TiO2 Nanoparticles-Mediated Terenna asiatica: Evaluation of Their Role in Reducing Oxidative Stress, Inflammation and Human Breast Cancer Proliferation

Venkatappa, M. M., Udagani, C., Gowda, S. M. H., Venkataramaiah, S., Casini, R., Moussa, I. M., Achur, R. N., Sannaningaiah, D., & Elansary, H. O. (2023) · Molecules · doi:10.3390/molecules28135126 · Cited by 54 · see citing works

Machine‐Learning‐Assisted Autonomous Humidity Management System Based on Solar‐Regenerated Super Hygroscopic Complex

Zhang, X., Yang, J., Qu, H., Yu, Z. G., Nandakumar, D. K., Zhang, Y., & Tan, S. C. (2021) · Advanced Science · doi:10.1002/advs.202003939 · Cited by 53 · see citing works

The future of plant based green carbon dots as cancer Nanomedicine: From current progress to future Perspectives and beyond

Hong, H. J., Shati, A. A., Alfaifi, M. Y., Elbehairi, S. E. I., & Sasidharan, S. (2024) · Journal of Advanced Research · doi:10.1016/j.jare.2024.01.034 · Cited by 53 · see citing works

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

Manzano, M., & Vallet‐Regí, M. (2025) · Advanced Materials · doi:10.1002/adma.202512433 · Cited by 53 · see citing works

Machine Learning in Nano-Scale Biomedical Engineering

Boulogeorgos, A. A., Trevlakis, S. E., Tegos, S. A., Papanikolaou, V. K., & Karagiannidis, G. K. (2020) · IEEE Transactions on Molecular Biological and Multi-Scale Communications · doi:10.1109/tmbmc.2020.3035383 · Cited by 53 · see citing works

Applications of artificial intelligence in nuclear medicine image generation

Cheng, Z., Wen, J., Huang, G., & Yan, J. (2021) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-20-1078 · Cited by 53 · see citing works

Machine learning integrated graphene oxide‐based diagnostics, drug delivery, analytical approaches to empower cancer diagnosis

Das, S., Mazumdar, H., Khondakar, K. R., & Kaushik, A. K. (2024) · BMEMat · doi:10.1002/bmm2.12117 · Cited by 52 · see citing works

Current advances in nanozyme-based nanodynamic therapies for cancer

Zhou, X., Feng, S., Xu, Q., Li, Y., Lan, J., Wang, Z., Ding, Y., Wang, S., & Zhao, Q. (2024) · Acta Biomaterialia · doi:10.1016/j.actbio.2024.11.023 · Cited by 52 · see citing works

Knowledge gaps in immune response and immunotherapy involving nanomaterials: Databases and artificial intelligence for material design

Feng, R., Yu, F., Xu, J., & Hu, X. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2020.120469 · Cited by 52 · see citing works

A Nanomedicine Structure–Activity Framework for Research, Development, and Regulation of Future Cancer Therapies

Youden, B., Jiang, R., Carrier, A. J., Servos, M. R., & Zhang, X. (2022) · ACS Nano · doi:10.1021/acsnano.2c06337 · Cited by 51 · see citing works

Smart nanomedicines powered by artificial intelligence: a breakthrough in lung cancer diagnosis and treatment

Alavinejad, M., Shirzad, M., Javid‐Naderi, M. J., Rahdar, A., Fathi‐karkan, S., & Pandey, S. (2025) · Medical Oncology · doi:10.1007/s12032-025-02680-x · Cited by 50 · see citing works

Current Trends of Artificial Intelligence in Nanosciences Application

Dagnaw, G. A., & Endeshaw, G. G. (2019) · Nuclear Science · doi:10.11648/j.ns.20190404.14 · Cited by 2 · see citing works

Cancer Treatment: Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine (Adv. Mater. 13/2020)

Adir, O., Poley, M., Chen, G., Froim, S., Krinsky, N., Shklover, J., Shainsky‐Roitman, J., Lammers, T., & Schroeder, A. (2020) · Advanced Materials · doi:10.1002/adma.202070100 · Cited by 10 · see citing works

AI and nanotechnology for precision cancer medicine: Opportunities and challenges

Elumalai, M., Sampath, S., Krishnan, Y., Sree, R. M., & Rishitha, B. N. V. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-45321-2.00014-x

Artificial Intelligence and its Application in Cancer Nanomedicine

Mohanty, S., Acharya, S., & Mohanty, C. (2022) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815050561122010006

Role of quantum technology and artificial intelligence for nano-enabled microfluidics

Yadav, S. K., & Jayaramulu, K. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-98805-6.00007-5 · Cited by 3 · see citing works