Enabling Technologies for Personalized and Precision Medicine

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 · cited 1× · see citing works

Reconstituting organ-level lung functions on a chip

Huh, D., Matthews, B. D., Mammoto, A., Montoya-Zavala, M., Hsin, H. Y., & Ingber, D. E. (2010) · Science · doi:10.1126/science.1188302 · Cited by 4,250 · see citing works

Nucleic acid detection with CRISPR-Cas13a/C2c2

Gootenberg, J. S., Abudayyeh, O. O., Lee, J. W., Essletzbichler, P., Dy, A. J., Joung, J., Verdine, V. K., Donghia, N. M., Daringer, N. M., Freije, C. A., et al. (2017) · Science · doi:10.1126/science.aam9321 · Cited by 3,887 · see citing works

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

Coudray, N., Ocampo, P. S., Sakellaropoulos, T., Narula, N., Snuderl, M., Fenyö, D., Moreira, A. L., Razavian, N., & Tsirigos, A. (2018) · Nature Medicine · doi:10.1038/s41591-018-0177-5 · Cited by 2,930 · see citing works

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

Ardila, D., Kiraly, A. P., Bharadwaj, S., Choi, B., Reicher, J. J., Peng, L., Tse, D., Etemadi, M., Ye, W., Corrado, G., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0447-x · Cited by 2,167 · see citing works

The Path to Personalized Medicine

Hamburg, M. A., & Collins, F. S. (2010) · New England Journal of Medicine · doi:10.1056/nejmp1006304 · Cited by 1,970 · see citing works

Genomics is failing on diversity

Popejoy, A. B., & Fullerton, S. M. (2016) · Nature · doi:10.1038/538161a · Cited by 1,924 · see citing works

Vemurafenib in Multiple Nonmelanoma Cancers with <i>BRAF</i> V600 Mutations

Hyman, D. M., Puzanov, I., Subbiah, V., Faris, J. E., Chau, I., Blay, J.-Y., Wolf, J., Raje, N. S., Diamond, E. L., Hollebecque, A., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1502309 · Cited by 1,764 · see citing works

Estimation of clinical trial success rates and related parameters

Wong, C. H., Siah, K. W., & Lo, A. W. (2019) · Biostatistics · doi:10.1093/biostatistics/kxx069 · Cited by 1,585 · see citing works

Big data and machine learning algorithms for health-care delivery

Ngiam, K. Y., & Khor, I. W. (2019) · The Lancet Oncology · doi:10.1016/s1470-2045(19)30149-4 · Cited by 1,424 · see citing works

Single-cell genome sequencing: current state of the science

Gawad, C., Koh, W., & Quake, S. R. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2015.16 · Cited by 1,334 · see citing works

A soft, wearable microfluidic device for the capture, storage, and colorimetric sensing of sweat

Koh, A., Kang, D., Xue, Y., Lee, S., Pielak, R. M., Kim, J., Hwang, T., Min, S., Banks, A., Bastien, P., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf2593 · Cited by 1,308 · see citing works

Smart cancer nanomedicine

van der Meel, R., Sulheim, E., Shi, Y., Kiessling, F. M., Mulder, W. J. M., & Lammers, T. (2019) · Nature Nanotechnology · doi:10.1038/s41565-019-0567-y · Cited by 1,251 · see citing works

The perivascular niche regulates breast tumour dormancy

Ghajar, C. M., Peinado, H., Mori, H., Matei, I. R., Evason, K. J., Brazier, H., Almeida, D., Koller, A., Hajjar, K. A., Stainier, D. Y. R., et al. (2013) · Nature Cell Biology · doi:10.1038/ncb2767 · Cited by 1,148 · cited 1× · see citing works

In vivo genome editing improves muscle function in a mouse model of Duchenne muscular dystrophy

Nelson, C. E., Hakim, C. H., Ousterout, D. G., Thakore, P. I., Moreb, E. A., Rivera, R. M. C., Madhavan, S., Pan, X., Ran, F. A., Yan, W. X., et al. (2016) · Science · doi:10.1126/science.aad5143 · Cited by 1,144 · see citing works

Spatial and temporal diversity in genomic instability processes defines lung cancer evolution

de Bruin, E. C., McGranahan, N., Mitter, R., Salm, M., Wedge, D. C., Yates, L., Jamal-Hanjani, M., Shafi, S., Murugaesu, N., Rowan, A. J., et al. (2014) · Science · doi:10.1126/science.1253462 · Cited by 1,117 · see citing works

A governance model for the application of AI in health care

Reddy, S., Allan, S., Coghlan, S., & Cooper, P. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocz192 · Cited by 979 · see citing works

Therapeutic T cell engineering

Sadelain, M., Rivière, I., & Riddell, S. R. (2017) · Nature · doi:10.1038/nature22395 · Cited by 886 · see citing works

Instrumented cardiac microphysiological devices via multimaterial three-dimensional printing

Lind, J. U., Busbee, T. A., Valentine, A. D., Pasqualini, F. S., Yuan, H., Yadid, M., Park, S.-J., Kotikian, A., Nesmith, A. P., Campbell, P. H., et al. (2017) · Nature Materials · doi:10.1038/nmat4782 · Cited by 863 · see citing works

Adaptive Therapy

Gatenby, R. A., Silva, A. S., Gillies, R. J., & Frieden, B. R. (2009) · Cancer Research · doi:10.1158/0008-5472.can-08-3658 · Cited by 861 · see citing works

Autonomous sweat extraction and analysis applied to cystic fibrosis and glucose monitoring using a fully integrated wearable platform

Emaminejad, S., Gao, W., Wu, E., Davies, Z. A., Yin Yin Nyein, H., Challa, S., Ryan, S. P., Fahad, H. M., Chen, K., Shahpar, Z., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1701740114 · Cited by 839 · see citing works

Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors

Zhang, Y. S., Aleman, J., Shin, S. R., Kilic, T., Kim, D., Mousavi Shaegh, S. A., Massa, S., Riahi, R., Chae, S., Hu, N., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612906114 · Cited by 833 · see citing works

Nanoparticle delivery of Cas9 ribonucleoprotein and donor DNA in vivo induces homology-directed DNA repair

Lee, K., Conboy, M., Park, H. M., Jiang, F., Kim, H. J., Dewitt, M. A., Mackley, V. A., Chang, K., Rao, A., Skinner, C., et al. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0137-2 · Cited by 755 · see citing works

Clonal evolution of preleukemic hematopoietic stem cells precedes human acute myeloid leukemia

Jan, M., Snyder, T. M., Corces-Zimmerman, M. R., Vyas, P., Weissman, I. L., Quake, S. R., & Majeti, R. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3004315 · Cited by 721 · see citing works

A microfluidic device for label-free, physical capture of circulating tumor cell clusters

Sarioglu, A. F., Aceto, N., Kojić, N., Collier, M. D., Zeinali, M., Hamza, B. M., Engstrom, A., Zhu, H., Sundaresan, T. K., Miyamoto, D. T., et al. (2015) · Nature Methods · doi:10.1038/nmeth.3404 · Cited by 710 · see citing works

Long-term glycemic control using polymer-encapsulated human stem cell–derived beta cells in immune-competent mice

Vegas, A. J., Veiseh, O., Gürtler, M., Millman, J. R., Pagliuca, F. W., Bader, A. R., Doloff, J. C., Li, J., Chen, M., Olejnik, K., et al. (2016) · Nature Medicine · doi:10.1038/nm.4030 · Cited by 710 · see citing works

Single-cell dissection of transcriptional heterogeneity in human colon tumors

Dalerba, P. D., Tomer Kalisky, C., Sahoo, D., Rajendran, P. S., Rothenberg, M. E., Leyrat, A. A., Sim, S., Okamoto, J., Johnston, D. M., Qian, D., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.2038 · Cited by 693 · see citing works

Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas

Hou, Y., Guo, H., Cao, C., Li, X., Hu, B., Zhu, P., Wu, X., Wen, L., Tang, F., Huang, Y., et al. (2016) · Cell Research · doi:10.1038/cr.2016.23 · Cited by 647 · see citing works

Self-healing electronic skins for aquatic environments

Cao, Y., Tan, Y. J., Li, S., Lee, W. W., Guo, H., Cai, Y., Wang, C., & Tee, B. C. K. (2019) · Nature Electronics · doi:10.1038/s41928-019-0206-5 · Cited by 647 · see citing works

Association of AR-V7 on Circulating Tumor Cells as a Treatment-Specific Biomarker With Outcomes and Survival in Castration-Resistant Prostate Cancer

Scher, H. I., Lu, D. M., Schreiber, N. A., Louw, J. E., Graf, R. P., Vargas, H. A., Johnson, A. D., Jendrisak, A., Bambury, R. M., Danila, D. C., et al. (2016) · JAMA Oncology · doi:10.1001/jamaoncol.2016.1828 · Cited by 643 · see citing works

Wearable Microfluidic Diaphragm Pressure Sensor for Health and Tactile Touch Monitoring

Gao, Y., Ota, H., Schaler, E. W., Chen, K., Zhao, A., Gao, W., Fahad, H. M., Leng, Y., Zheng, A., Xiong, F., et al. (2017) · Advanced Materials · doi:10.1002/adma.201701985 · Cited by 614 · see citing works

Microfluidic Organ-on-a-Chip Models of Human Intestine

Bein, A., Shin, W., Jalili-Firoozinezhad, S., Park, M. H., Sontheimer-Phelps, A., Tovaglieri, A., Chalkiadaki, A., Kim, H. J., & Ingber, D. E. (2018) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2017.12.010 · Cited by 601 · cited 1× · see citing works

Spherical Nucleic Acid Nanoparticle Conjugates as an RNAi-Based Therapy for Glioblastoma

Jensen, S. A., Day, E. S., Ko, C. H., Hurley, L. A., Luciano, J. P., Kouri, F. M., Merkel, T. J., Luthi, A. J., Patel, P. C., Cutler, J. I., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3006839 · Cited by 592 · see citing works

Genome-wide association studies in diverse populations

Rosenberg, N. A., Huang, L., Jewett, E. M., Szpiech, Z. A., Jankovic, I., & Boehnke, M. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2760 · Cited by 566 · see citing works

Integrating evolutionary dynamics into treatment of metastatic castrate-resistant prostate cancer

Zhang, J., Cunningham, J. J., Brown, J. S., & Gatenby, R. A. (2017) · Nature Communications · doi:10.1038/s41467-017-01968-5 · Cited by 557 · see citing works

Combinatorial hydrogel library enables identification of materials that mitigate the foreign body response in primates

Vegas, A. J., Veiseh, O., Doloff, J. C., Ma, M., Tam, H. H., Bratlie, K., Li, J., Bader, A. R., Langan, E., Olejnik, K., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3462 · Cited by 551 · see citing works

Identification of type 2 diabetes subgroups through topological analysis of patient similarity

Li, L., Cheng, W., Glicksberg, B. S., Gottesman, O., Tamler, R., Chen, R., Böttinger, E. P., & Dudley, J. T. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa9364 · Cited by 548 · see citing works

Tumor immune profiling predicts response to anti–PD-1 therapy in human melanoma

Daud, A. I., Loo, K., Pauli, M. L., Sanchez-Rodriguez, R., Sandoval, P. M., Taravati, K., Tsai, K., Nosrati, A., Nardo, L., Alvarado, M. D., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci87324 · Cited by 525 · see citing works

Development of Personalized Tumor Biomarkers Using Massively Parallel Sequencing

Leary, R. J., Kinde, I., Diehl, F., Schmidt, K., Clouser, C., Duncan, C., Antipova, A. A., Lee, C. C., McKernan, K. J., Vega, F. M. D. L., et al. (2010) · Science Translational Medicine · doi:10.1126/scitranslmed.3000702 · Cited by 517 · see citing works

Layer-by-Layer Nanoparticles for Systemic Codelivery of an Anticancer Drug and siRNA for Potential Triple-Negative Breast Cancer Treatment

Deng, Z. J., Morton, S. W., Ben‐Akiva, E., Dreaden, E. C., Shopsowitz, K. E., & Hammond, P. T. (2013) · ACS Nano · doi:10.1021/nn4047925 · Cited by 513 · 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

Structure-guided chemical modification of guide RNA enables potent non-viral in vivo genome editing

Yin, H., Song, C.-Q., Suresh, S., Wu, Q., Walsh, S., Rhym, L. H., Mintzer, E., Bolukbasi, M. F., Zhu, L. J., Kauffman, K., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.4005 · Cited by 499 · see citing works

RNA sequencing of pancreatic circulating tumour cells implicates WNT signalling in metastasis

Yu, M., Ting, D. T., Stott, S. L., Wittner, B. S., Ozsolak, F., Paul, S., Ciciliano, J. C., Smas, M. E., Winokur, D., Gilman, A. J., et al. (2012) · Nature · doi:10.1038/nature11217 · Cited by 484 · see citing works

Programmable probiotics for detection of cancer in urine

Danino, T., Prindle, A. B., Kwong, G. A., Skalak, M., Li, H. Y., Allen, K. N., Hasty, J., & Bhatia, S. N. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa3519 · Cited by 472 · see citing works

Population Screening in the Age of Genomic Medicine

Khoury, M. J., McCabe, L. L., & McCabe, E. R. B. (2003) · New England Journal of Medicine · doi:10.1056/nejmra013182 · Cited by 458 · see citing works

Automated deep-neural-network surveillance of cranial images for acute neurologic events

Titano, J. J., Badgeley, M., Schefflein, J., Pain, M., Su, A., Cai, M., Swinburne, N., Zech, J., Kim, J., Bederson, J., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0147-y · Cited by 458 · see citing works

Wireless body sensor networks based on metamaterial textiles

Tian, X., Lee, P. M., Tan, Y. J., Wu, T. L. Y., Yao, H., Zhang, M., Li, Z., Ng, K. A., Tee, B. C. K., & Ho, J. S. (2019) · Nature Electronics · doi:10.1038/s41928-019-0257-7 · Cited by 441 · see citing works

Microfluidics‐Enabled Multimaterial Maskless Stereolithographic Bioprinting

Miri, A. K., Nieto, D., Iglesias, L., Hosseinabadi, H. G., Maharjan, S., Ruiz‐Esparza, G. U., Khoshakhlagh, P., Manbachi, A., Dokmeci, M. R., Chen, S., et al. (2018) · Advanced Materials · doi:10.1002/adma.201800242 · Cited by 433 · see citing works

Adaptive mutability of colorectal cancers in response to targeted therapies

Russo, M., Crisafulli, G., Sogari, A., Reilly, N. M., Arena, S., Lamba, S., Bartolini, A., Amodio, V., Magrì, A., Novara, L., et al. (2019) · Science · doi:10.1126/science.aav4474 · Cited by 433 · see citing works

Real-Time, Aptamer-Based Tracking of Circulating Therapeutic Agents in Living Animals

Ferguson, B. S., Hoggarth, D. A., Maliniak, D., Ploense, K. L., White, R. J., Woodward, N., Hsieh, K., Bonham, A. J., Eisenstein, M. S., Kippin, T. E., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3007095 · Cited by 423 · see citing works

Wearable Health Technology and Electronic Health Record Integration: Scoping Review and Future Directions

Dinh-Le, C., Chuang, R., Chokshi, S. K., & Mann, D. (2019) · JMIR mhealth and uhealth · doi:10.2196/12861 · Cited by 416 · see citing works

Probing 10 μK stability and residual drifts in the cross-polarized dual-mode stabilization of single-crystal ultrahigh-Q optical resonators

Lim, J., Liang, W., Savchenkov, A. A., Matsko, A. B., Maleki, L., & Wong, C. W. (2019) · Light Science & Applications · doi:10.1038/s41377-018-0109-7 · Cited by 413 · see citing works

Topical delivery of siRNA-based spherical nucleic acid nanoparticle conjugates for gene regulation

Zheng, D., Giljohann, D. A., Chen, D. L., Massich, M. D., Wang, X.-Q., Iordanov, H., Mirkin, C. A., & Paller, A. S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1118425109 · Cited by 410 · see citing works

Current state and challenges in developing oral vaccines

Ramirez, J. E. V., Sharpe, L. A., & Peppas, N. A. (2017) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2017.04.008 · Cited by 410 · see citing works

An “off-the-shelf” fratricide-resistant CAR-T for the treatment of T cell hematologic malignancies

Cooper, M. L., Choi, J., Staser, K. W., Ritchey, J., Devenport, J. M., Eckardt, K., Rettig, M. P., Wang, B., Eissenberg, L. G., Ghobadi, A., et al. (2018) · Leukemia · doi:10.1038/s41375-018-0065-5 · Cited by 389 · see citing works

Transcription factor profiling in individual hematopoietic progenitors by digital RT-PCR

Warren, L. A., Bryder, D., Weissman, I., & Quake, S. (2006) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.0608512103 · Cited by 373 · 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

Measurement‐Burst Designs for Social Health Research

Sliwinski, M. J. (2008) · Social and Personality Psychology Compass · doi:10.1111/j.1751-9004.2007.00043.x · Cited by 336 · see citing works

Miniaturized Battery‐Free Wireless Systems for Wearable Pulse Oximetry

Kim, J., Gutruf, P., Chiarelli, A. M., Heo, S. Y., Cho, K., Xie, Z., Banks, A. R., Han, S., Jang, K., Lee, J. W., et al. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201604373 · Cited by 334 · see citing works

Mapping normal and cancer cell signalling networks: towards single-cell proteomics

Irish, J. M., Kotecha, N., & Nolan, G. P. (2006) · Nature reviews. Cancer · doi:10.1038/nrc1804 · Cited by 315 · see citing works

Multisite Investigation of Outcomes With Implementation of CYP2C19 Genotype-Guided Antiplatelet Therapy After Percutaneous Coronary Intervention

Cavallari, L. H., Lee, C. R., Beitelshees, A. L., Cooper‐DeHoff, R. M., Duarte, J. D., Voora, D., Kimmel, S. E., McDonough, C. W., Gong, Y., Dave, C. V., et al. (2017) · JACC: Cardiovascular Interventions · doi:10.1016/j.jcin.2017.07.022 · Cited by 315 · see citing works

Macrophage-derived extracellular succinate licenses neural stem cells to suppress chronic neuroinflammation

Peruzzotti-Jametti, L., Bernstock, J. D., Vicario, N., Costa, A. S. H., Kwok, C. K., Leonardi, T., Booty, L. M., Bicci, I., Balzarotti, B., Volpe, G., et al. (2018) · Cell Stem Cell · doi:10.1016/j.stem.2018.01.020 · Cited by 285 · see citing works

Capacitively coupled arrays of multiplexed flexible silicon transistors for long-term cardiac electrophysiology

Fang, H., Yu, K. J., Gloschat, C., Yang, Z., Song, E., Chiang, C.-H., Zhao, J., Won, S. M., Xu, S., Trumpis, M., et al. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0038 · Cited by 278 · see citing works

Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities

Itakura, H., Achrol, A. S., Mitchell, L. A., Loya, J. J., Liu, T. T., Westbroek, E. M., Feroze, A. H., Rodriguez, S., Echegaray, S., Azad, T. D., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa7582 · Cited by 270 · see citing works

Quantitative Diagnosis of Malignant Pleural Effusions by Single-Cell Mechanophenotyping

Tse, H. T. K., Gossett, D. R., Moon, Y. S., Masaeli, M., Sohsman, M. Y., Ying, Y., Mislick, K., Adams, R. P., Rao, J., & Carlo, D. D. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3006559 · Cited by 267 · see citing works

Detection of pathological biomarkers in human clinical samples via amplifying genetic switches and logic gates

Courbet, A., Endy, D., Renard, É., Molina, F., & Bonnet, J. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa3601 · Cited by 262 · see citing works

Enhanced CAR T-cell engineering using non-viral Sleeping Beauty transposition from minicircle vectors

Monjezi, R., Miskey, C., Gogishvili, T., Schleef, M., Schmeer, M., Einsele, H., Ivics, Z., & Hudecek, M. (2016) · Leukemia · doi:10.1038/leu.2016.180 · Cited by 260 · see citing works

Immunomodulatory spherical nucleic acids

Radovic‐Moreno, A. F., Chernyak, N., Mader, C. C., Nallagatla, S., Kang, R. S., Hao, L., Walker, D., Halo, T. L., Merkel, T. J., Rische, C. H., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1502850112 · Cited by 260 · see citing works

The IGNITE network: a model for genomic medicine implementation and research

on behalf of the IGNITE Network, Weitzel, K. W., Alexander, M., Bernhardt, B. A., Calman, N., Carey, D. J., Cavallari, L. H., Field, J. R., Hauser, D., Junkins, H., et al. (2015) · BMC Medical Genomics · doi:10.1186/s12920-015-0162-5 · Cited by 251 · see citing works

Pharmacogenomics: Precision Medicine and Drug Response

Weinshilboum, R. M., & Wang, L. (2017) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2017.09.001 · Cited by 250 · see citing works

Nanodiamonds: The intersection of nanotechnology, drug development, and personalized medicine

Ho, D., Wang, C.-H. K., & Chow, E. K. (2015) · Science Advances · doi:10.1126/sciadv.1500439 · Cited by 244 · see citing works

Tisagenlecleucel — the first approved CAR-T-cell therapy: implications for payers and policy makers

Prasad, V. (2018) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.156 · Cited by 229 · see citing works

siRNA-based spherical nucleic acids reverse impaired wound healing in diabetic mice by ganglioside GM3 synthase knockdown

Randeria, P. S., Seeger, M. A., Wang, X.-Q., Wilson, H. M., Shipp, D. M., Mirkin, C. A., & Paller, A. S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1505951112 · Cited by 224 · see citing works

From single cells to deep phenotypes in cancer

Bendall, S. C., & Nolan, G. P. (2012) · Nature Biotechnology · doi:10.1038/nbt.2283 · Cited by 222 · see citing works

Microneedle-based device for the one-step painless collection of capillary blood samples

Blicharz, T. M., Gong, P., Bunner, B. M., Chu, L. L., Leonard, K. M., Wakefield, J. A., Williams, R. E., Dadgar, M., Tagliabue, C. A., Khaja, R. E., et al. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0194-1 · Cited by 216 · see citing works

Intravital Microscopy Through an Abdominal Imaging Window Reveals a Pre-Micrometastasis Stage During Liver Metastasis

Ritsma, L., Steller, E. J. A., Beerling, E., Loomans, C. J. M., Zomer, A., Gerlach, C., Vrisekoop, N., Seinstra, D., van Gurp, L., Schäfer, R., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3004394 · Cited by 213 · see citing works

Fabrication of fillable microparticles and other complex 3D microstructures

McHugh, K. J., Nguyen, T. D., Linehan, A. R., Yang, D. L., Behrens, A. M., Rose, S., Tochka, Z. L., Tzeng, S. Y., Norman, J. J., Anselmo, A. C., et al. (2017) · Science · doi:10.1126/science.aaf7447 · Cited by 212 · see citing works

The robust reliability of neuropsychological measures: meta-analyses of test-retest correlations

Calamia, M., Markon, K., & Tranel, D. (2013) · The Clinical Neuropsychologist · doi:10.1080/13854046.2013.809795 · Cited by 207 · cited 1× · see citing works

AI for medical imaging goes deep

Ting, D. S. W., Liu, Y., Burlina, P., Xu, X., Bressler, N. M., & Wong, T. Y. (2018) · Nature Medicine · doi:10.1038/s41591-018-0029-3 · Cited by 206 · see citing works

Low-cost, μm-thick, tape-free electronic tattoo sensors with minimized motion and sweat artifacts

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An implantable microdevice to perform high-throughput in vivo drug sensitivity testing in tumors

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Beyond Skin Deep: Phospholipid-Based Nanovesicles as Game-Changers in Transdermal Drug Delivery

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Review of Personalized Medicine and Pharmacogenomics of Anti-Cancer Compounds and Natural Products

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The Evolution of Systems Biology and Systems Medicine: From Mechanistic Models to Uncertainty Quantification

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Transforming Pharmacogenomics and CRISPR Gene Editing with the Power of Artificial Intelligence for Precision Medicine

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Monitoring Cardiac Biomarkers with Aptamer‐Based Molecular Pendulum Sensors

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Enhanced Biohomogeneous Composite Membrane-Encapsulated Nanoplatform with Podocyte Targeting for Precise and Safe Treatment of Diabetic Nephropathy

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Role of Exosomes in Parkinson’s and Alzheimer’s Diseases

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Bio–Nano Toolbox for Precision Alzheimer's Disease Gene Therapy

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Transforming Diagnostics: A Comprehensive Review of Advances in Digital Pathology

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Personalized Medicine: A New Normal for Therapeutic Success

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Role of Biomarkers in Personalized Medicine

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