Cited by 522Technology and Human Factors in Education and HealthAdvanced Biosensing Techniques and ApplicationsMetabolomics and Mass Spectrometry Studies

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Enabling Technologies for Personalized and Precision Medicine

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Ho, Dean, Quake, Stephen R., McCabe, Edward R.B., Chng, Wee Joo, Chow, Edward K., Ding, Xianting, Gelb, Bruce D., Ginsburg, Geoffrey S., Hassenstab, Jason, Ho, Chih-Ming, Mobley, William C., Nolan, Garry P., Rosen, Steven T., Tan, Patrick, Yen, Yun, Zarrinpar, Ali·2020·Trends in Biotechnology

DOI 10.1016/j.tibtech.2019.12.021PMC PMC7924935

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Abstract

Individualizing patient treatment is a core objective of the medical field. Reaching this objective has been elusive owing to the complex set of factors contributing to both disease and health; many factors, from genes to proteins, remain unknown in their role in human physiology. Accurately diagnosing, monitoring, and treating disorders requires advances in biomarker discovery, the subsequent development of accurate signatures that correspond with dynamic disease states, as well as therapeutic interventions that can be continuously optimized and modulated for dose and drug selection. This work highlights key breakthroughs in the development of enabling technologies that further the goal of personalized and precision medicine, and remaining challenges that, when addressed, may forge unprecedented capabilities in realizing truly individualized patient care.

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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×
“Such noninvasive, multiplexed monitoring may ultimately identify personalized biomarker signatures [150].”
Background
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
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
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
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
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
Genomics is failing on diversity
Popejoy, A. B., & Fullerton, S. M. (2016) · Nature · doi:10.1038/538161a · Cited by 1,924
Vemurafenib in Multiple Nonmelanoma Cancers with BRAF 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
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
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
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
Self-citation
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
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 1,279
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×
“Imaging dormant breast cancer cells in mice has shown that vascular triggers are responsible for proliferation and growth, revealing new therapeutic targets in the vasculature [67].”
Background
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
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
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
Therapeutic T cell engineering
Sadelain, M., Rivière, I., & Riddell, S. R. (2017) · Nature · doi:10.1038/nature22395 · Cited by 906
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
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
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
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
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
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
Self-citation
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 715
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
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 704
Self-citation
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 652
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 650
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
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 625 · cited 1×
“The ability to replicate organ-scale complexity using platforms such as this intestine model opens the doors to pharmacokinetics, absorption, and drug metabolism analysis as they relate to drug development and toxicity studies [96,97].”
Background
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
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
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
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
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 554
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
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
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 519
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 518
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
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
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
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 469
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
Self-citation
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
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 444
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 436
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
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
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 425
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
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
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
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 398
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
Self-citation
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
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
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
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 314
Self-citation
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 314
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
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
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 274
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
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 269
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 268
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 265
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
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
Self-citation
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
Self-citation
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Prasad, V. (2018) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.156 · Cited by 229
From single cells to deep phenotypes in cancer
Bendall, S. C., & Nolan, G. P. (2012) · Nature Biotechnology · doi:10.1038/nbt.2283 · Cited by 225
Self-citation
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
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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
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
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 211
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×
“Finally, the cognitive tests most sensitive to the earliest declines in AD also demonstrate high levels of day-to-day variability and can have substantial retest effects [153,154].”
Background
Low-cost, μm-thick, tape-free electronic tattoo sensors with minimized motion and sweat artifacts
Wang, Y., Qiu, Y., Ameri, S. K., Jang, H., Dai, Z., Huang, Y., & Lu, N. (2018) · npj Flexible Electronics · doi:10.1038/s41528-017-0019-4 · Cited by 192
Microneedle-based device for the one-step painless collection of capillary blood samples
Blicharz, T. M., Gong, P., Bunner, B., Chu, L. L., Leonard, K. M., Wakefield, J., Williams, R. E., Dadgar, M., Tagliabue, C., Khaja, R. E., et al. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0194-1 · Cited by 190
An implantable microdevice to perform high-throughput in vivo drug sensitivity testing in tumors
Jonas, O., Landry, H. M., Fuller, J. E., Santini, J. T., Baselga, J., Tepper, R. I., Cima, M. J., & Langer, R. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.3010564 · Cited by 189
Placental Drug Transport‐on‐a‐Chip: A Microengineered In Vitro Model of Transporter‐Mediated Drug Efflux in the Human Placental Barrier
Blundell, C., Yi, Y., Ma, L., Tess, E. R., Farrell, M. J., Georgescu, A., Aleksunes, L. M., & Huh, D. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201700786 · Cited by 187
Microneedle biosensors for real-time, minimally invasive drug monitoring of phenoxymethylpenicillin: a first-in-human evaluation in healthy volunteers
Rawson, T. M., Gowers, S. A. N., Freeman, D. M. E., Wilson, R. C., Sharma, S., Gilchrist, M. J., MacGowan, A. P., Lovering, A. M., Bayliss, M. A. J., Kyriakides, M., et al. (2019) · The Lancet Digital Health · doi:10.1016/s2589-7500(19)30131-1 · Cited by 182
Closed-loop control of cellular functions using combinatory drugs guided by a stochastic search algorithm
Wong, P. K., Yu, F., Shahangian, A., Cheng, G., Sun, R., & Ho, C. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800823105 · Cited by 179
Self-citation
Physiologically based pharmacokinetic and pharmacodynamic analysis enabled by microfluidically linked organs-on-chips
Prantil-Baun, R., Novak, R., Das, D., Somayaji, M. R., Przekwas, A., & Ingber, D. E. (2018) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010716-104748 · Cited by 176
Tissue matrix arrays for high-throughput screening and systems analysis of cell function
Beachley, V. Z., Wolf, M. T., Sadtler, K., Manda, S. S., Jacobs, H. N., Blatchley, M. R., Bader, J. S., Pandey, A., Pardoll, D. M., & Elisseeff, J. H. (2015) · Nature Methods · doi:10.1038/nmeth.3619 · Cited by 165
Ten things we have to do to achieve precision medicine
Kohane, I. S. (2015) · Science · doi:10.1126/science.aab1328 · Cited by 164
Single-cell analyses to tailor treatments
Shalek, A. K., & Benson, M. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aan4730 · Cited by 163
An RNA-based signature enables high specificity detection of circulating tumor cells in hepatocellular carcinoma
Kalinich, M., Bhan, I., Kwan, T. T., Miyamoto, D. T., Javaid, S., LiCausi, J. A., Milner, J. D., Hong, X., Goyal, L., Sil, S., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1617032114 · Cited by 158
Artificial intelligence in nanomedicine
Ho, D., Wang, P., & Kee, T. W. (2018) · Nanoscale Horizons · doi:10.1039/c8nh00233a · Cited by 158
Self-citation
Single-cell transcriptional dynamics of flavivirus infection
Zanini, F., Pu, S., Bekerman, E., Einav, S., & Quake, S. R. (2018) · eLife · doi:10.7554/elife.32942 · Cited by 157
Self-citation
Individualizing liver transplant immunosuppression using a phenotypic personalized medicine platform
Zarrinpar, A., Lee, D.-K., Silva, A., Datta, N. N., Kee, T. W., Eriksen, C. M., Weigle, K., Agopian, V. G., Kaldas, F. M., Farmer, D. G., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aac5954 · Cited by 152
Self-citation
Advances in Porous Silicon–Based Nanomaterials for Diagnostic and Therapeutic Applications
Tieu, T., Alba, M., Elnathan, R., Cifuentes‐Rius, A., & Voelcker, N. H. (2018) · Advanced Therapeutics · doi:10.1002/adtp.201800095 · Cited by 150
Implantable synthetic cytokine converter cells with AND-gate logic treat experimental psoriasis
Schukur, L., Geering, B., Hamri, G. C., & Fussenegger, M. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aac4964 · Cited by 147
Absence of practice effects in preclinical Alzheimer’s disease.
Hassenstab, J. J., Ruvolo, D., Jasielec, M. S., Xiong, C., Grant, E., & Morris, J. C. (2015) · Neuropsychology · doi:10.1037/neu0000208 · Cited by 145
Self-citation
Addressing the challenge of high-priced prescription drugs in the era of precision medicine: A systematic review of drug life cycles, therapeutic drug markets and regulatory frameworks
van der Gronde, T., Groot, C. A. U., & Pieters, T. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182613 · Cited by 144
Printing Tablets with Fully Customizable Release Profiles for Personalized Medicine
Sun, Y., & Soh, S. (2015) · Advanced Materials · doi:10.1002/adma.201504122 · Cited by 144
BRCA mutation in ovarian cancer: testing, implications and treatment considerations
Neff, R. T., Senter, L. A., & Salani, R. (2017) · Therapeutic Advances in Medical Oncology · doi:10.1177/1758834017714993 · Cited by 142
Challenges and strategies for implementing genomic services in diverse settings: experiences from the Implementing GeNomics In pracTicE (IGNITE) network
Sperber, N. R., Carpenter, J. S., Cavallari, L. H., Damschroder, L. J., Cooper‐DeHoff, R. M., Denny, J. C., Ginsburg, G. S., Guan, Y., Horowitz, C. R., Levy, K. D., et al. (2017) · BMC Medical Genomics · doi:10.1186/s12920-017-0273-2 · Cited by 141
Self-citation
Axicabtagene ciloleucel, a first-in-class CAR T cell therapy for aggressive NHL
Roberts, Z. J., Better, M., Bot, A. I., Roberts, M. R., & Ribas, A. (2017) · Leukemia & lymphoma/Leukemia and lymphoma · doi:10.1080/10428194.2017.1387905 · Cited by 138
Aldehyde‐Amine Chemistry Enables Modulated Biosealants with Tissue‐Specific Adhesion
Artzi, N., Shazly, T. M., Baker, A. B., Ramos, A. B., & Edelman, E. R. (2009) · Advanced Materials · doi:10.1002/adma.200900340 · Cited by 129
Next-Generation Chimeric Antigen Receptor T-Cell Therapy: Going off the Shelf
Ruella, M., & Kenderian, S. S. (2017) · BioDrugs · doi:10.1007/s40259-017-0247-0 · Cited by 129
Modulating BET Bromodomain Inhibitor ZEN‐3694 and Enzalutamide Combination Dosing in a Metastatic Prostate Cancer Patient Using CURATE.AI, an Artificial Intelligence Platform
Pantuck, A. J., Lee, D., Kee, T. W., Wang, P., Lakhotia, S., Silverman, M. H., Mathis, C., Drakaki, A., Belldegrun, A. S., Ho, C., et al. (2018) · Advanced Therapeutics · doi:10.1002/adtp.201800104 · Cited by 129
Self-citation
Nanomesh on-skin electronics
Rogers, J. A. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2017.150 · Cited by 128
Design and applications of stretchable and self-healable conductors for soft electronics
Zhao, Y., Kim, A., Wan, G., & Tee, B. C. K. (2019) · Nano Convergence · doi:10.1186/s40580-019-0195-0 · Cited by 128
Mechanism-Independent Optimization of Combinatorial Nanodiamond and Unmodified Drug Delivery Using a Phenotypically Driven Platform Technology
Wang, H., Lee, D.-K., Chen, K., Chen, J.-Y., Zhang, K., Silva, A., Ho, C., & Ho, D. (2015) · ACS Nano · doi:10.1021/acsnano.5b00638 · Cited by 127
Self-citation
Optimizing drug combinations against multiple myeloma using a quadratic phenotypic optimization platform (QPOP)
Rashid, M. B. M. A., Toh, T. B., Hooi, L., Silva, A., Zhang, Y., Tan, P. F., Teh, A. L., Karnani, N., Jha, S., Ho, C., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aan0941 · Cited by 127
Self-citation
Tumor-derived circulating endothelial cell clusters in colorectal cancer
Cima, I., Kong, S. L., Sengupta, D., Tan, I., Phyo, W. M., Lee, D. C., Hu, M. S., Iliescu, C., Alexander, I., Goh, W. L., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aad7369 · Cited by 126
Epstein-Barr virus-associated primary nodal T/NK-cell lymphoma shows a distinct molecular signature and copy number changes
Ng, S., Chung, T., Kato, S. X., Nakamura, S., Takahashi, E., Ko, Y. H., Khoury, J. D., Yin, C. C., Soong, R., Jeyasekharan, A. D. D., et al. (2017) · Haematologica · doi:10.3324/haematol.2017.180430 · Cited by 126
Self-citation
Peptide Arrays: Development and Application
Szymczak, L. C., Kuo, H.-Y., & Mrksich, M. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.7b04380 · Cited by 126
Rapid optimization of drug combinations for the optimal angiostatic treatment of cancer
Weiss, A., Ding, X., B, J. R. V. B., Wong, I., Wong, T. J., Berndsen, R. H., Dormond, O., Dallinga, M. G., Shen, L., Schlingemann, R. O., et al. (2015) · Angiogenesis · doi:10.1007/s10456-015-9462-9 · Cited by 122
Self-citation
The Innovative Medicines Initiative: A European Response to the Innovation Challenge
Goldman, M. (2012) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2011.321 · Cited by 113
Precision medicine: Beyond the inflection point
Hawgood, S., Hook-Barnard, I. G., O’Brien, T. C., & Yamamoto, K. R. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa9970 · Cited by 112
FDA Approves Second CAR T-cell Therapy
(2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-nb2017-155 · Cited by 111
Mitochondrial DNA haplogroup T is associated with coronary artery disease and diabetic retinopathy: a case control study
Kofler, B., Mueller, E. E., Eder, W., Stanger, O., Maier, R., Weger, M., Haas, A., Winker, R., Schmut, O., Paulweber, B., et al. (2009) · BMC Medical Genetics · doi:10.1186/1471-2350-10-35 · Cited by 107
Proof-of-concept study of an at-home, engaging, digital intervention for pediatric ADHD
Davis, N. O., Bower, J., & Kollins, S. H. (2018) · PLOS ONE · doi:10.1371/journal.pone.0189749 · Cited by 106
Tumor-Associated Fibroblasts Promote HER2-Targeted Therapy Resistance through FGFR2 Activation
Fernández‐Nogueira, P., Mancino, M., Fuster, G., López‐Plana, A., Jáuregui, P., Almendro, V., Enreig, E., Menéndez, S., Rojo, F., Noguera‐Castells, A., et al. (2019) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-0353 · Cited by 104
A validated single-cell-based strategy to identify diagnostic and therapeutic targets in complex diseases
Gawel, D. R., Serra-Musach, J., Lilja, S., Aagesen, J., Arenas, À., Asking, B., Bengnér, M., Björkander, J., Biggs, S., Ernerudh, J., et al. (2019) · Genome Medicine · doi:10.1186/s13073-019-0657-3 · Cited by 95
The IGNITE Pharmacogenetics Working Group: An Opportunity for Building Evidence with Pharmacogenetic Implementation in a Real‐World Setting
Cavallari, L. H., Beitelshees, A., Blake, K., Dressler, L. G., Duarte, J., Elsey, A. R., Eichmeyer, J. N., Empey, P. E., Franciosi, J., Hicks, J. K., et al. (2017) · Clinical and Translational Science · doi:10.1111/cts.12456 · Cited by 94
Systematic quantitative characterization of cellular responses induced by multiple signals
Al‐Shyoukh, I., Yu, F., Feng, J., Yan, K., Dubinett, S. M., Ho, C., Shamma, J. S., & Sun, R. (2011) · BMC Systems Biology · doi:10.1186/1752-0509-5-88 · Cited by 92
Self-citation
Transdermal immunomodulation: Principles, advances and perspectives
Zhao, Z., Ukidve, A., Dasgupta, A., & Mitragotri, S. (2018) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.03.010 · Cited by 92
Phenotype-driven precision oncology as a guide for clinical decisions one patient at a time
Chia, S., Low, J.-L., Zhang, X., Kwang, X.-L., Chong, F.-T., Sharma, A., Bertrand, D., Toh, S. Y., Leong, H. S., Thangavelu, M. T., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00451-5 · Cited by 91
Self-citation
Wearable physiological systems and technologies for metabolic monitoring
Gao, W., Brooks, G. A., & Klonoff, D. C. (2018) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00407.2017 · Cited by 91 · cited 1×
“These platforms can be used for glucose sensing and CF monitoring without the barriers associated with fingerstick testing [145,146].”
Background
Abnormal scar identification with spherical-nucleic-acid technology
Yeo, D., Wiraja, C., Paller, A. S., Mirkin, C. A., & Xu, C. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0218-x · Cited by 91
Cowpea Mosaic Virus Promotes Anti‐Tumor Activity and Immune Memory in a Mouse Ovarian Tumor Model
Wang, C., Fiering, S., & Steinmetz, N. F. (2019) · Advanced Therapeutics · doi:10.1002/adtp.201900003 · Cited by 90
Output-driven feedback system control platform optimizes combinatorial therapy of tuberculosis using a macrophage cell culture model
Silva, A., Lee, B., Clemens, D. L., Kee, T. W., Ding, X., Ho, C., & Horwitz, M. A. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1600812113 · Cited by 88
Self-citation
Soft tubular microfluidics for 2D and 3D applications
Xi, W., Kong, F., Yeo, J. C., Yu, L., Sonam, S., Dao, M., Gong, X., & Lim, C. T. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1712195114 · Cited by 88
Profiling of Circulating Free DNA Using Targeted and Genome-wide Sequencing in Patients with SCLC
Mohan, S., Foy, V., Ayub, M., Leong, H. S., Schofield, P., Sahoo, S., Descamps, T., Kilerci, B., Smith, N., Carter, M., et al. (2019) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2019.10.007 · Cited by 81
Regulation of dendrimer/dextran material performance by altered tissue microenvironment in inflammation and neoplasia
Oliva, N., Solanes, M. C., Beckerman, M., Seliktar, S., Hayward, A. M., Stanley, J., Parry, N. M., Edelman, E. R., & Artzi, N. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa1616 · Cited by 79
Developing a common framework for evaluating the implementation of genomic medicine interventions in clinical care: the IGNITE Network’s Common Measures Working Group
Orlando, L. A., Sperber, N. R., Voils, C. I., Nichols, M., Myers, R. A., Wu, R. R., Rakhra-Burris, T. K., Levy, K. D., Levy, M. A., Pollin, T. I., et al. (2017) · Genetics in Medicine · doi:10.1038/gim.2017.144 · Cited by 79
Folding graft copolymer with pendant drug segments for co-delivery of anticancer drugs
Tai, W., Mo, R., Lü, Y., Jiang, T., & Gu, Z. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2014.05.004 · Cited by 78
CCND1 mutations increase protein stability and promote ibrutinib resistance in mantle cell lymphoma
Mohanty, A. R., Sandoval, N., Das, M., Pillai, R. K., Chen, L., Chen, R. W., Amin, H. M., Wang, M. L., Marcucci, G., Weisenburger, D. D., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.12434 · Cited by 78
Self-citation
Clinical validation of a nanodiamond-embedded thermoplastic biomaterial
Lee, D.-K., Kee, T. W., Liang, Z., Hsiou, D., Miya, D., Wu, B., O̅sawa, E., Chow, E. K., SUNG, E. C., Kang, M., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711924114 · Cited by 73
Self-citation
Cellular Expression of PD-L1 in the Peripheral Blood of Lung Cancer Patients is Associated with Worse Survival
Boffa, D. J., Graf, R. P., Salazar, M. C., Hoag, J. R., Lu, D. M., Krupa, R., Louw, J. E., Dugan, L., Wang, Y., Landers, M. A., et al. (2017) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-17-0120 · Cited by 70
Drug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time
Lee, B., Clemens, D. L., Silva, A., Dillon, B. J., Masleša-Galić, S., Nava, S., Ding, X., Ho, C., & Horwitz, M. A. (2017) · Nature Communications · doi:10.1038/ncomms14183 · Cited by 68
Self-citation
Dysregulation of neurotrophin signaling in the pathogenesis of Alzheimer disease and of Alzheimer disease in Down syndrome
Chen, X., Sawa, M., & Mobley, W. C. (2017) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2017.10.341 · Cited by 66
Self-citation
Ethics of inclusion: Cultivate trust in precision medicine
Lee, S. S., Fullerton, S. M., Saperstein, A., & Shim, J. K. (2019) · Science · doi:10.1126/science.aaw8299 · Cited by 65
Medical devices on chips
Guan, A., Hamilton, P., Wang, Y., Gorbet, M., Li, Z., & Phillips, K. S. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0045 · Cited by 63
Guiding the osteogenic fate of mouse and human mesenchymal stem cells through feedback system control
Honda, Y., Ding, X., Mussano, F. D., Wiberg, A., Ho, C., & Nishimura, I. (2013) · Scientific Reports · doi:10.1038/srep03420 · Cited by 60
Self-citation
Relationship between Stroop performance and resting state functional connectivity in cognitively normal older adults.
Duchek, J. M., Balota, D. A., Thomas, J., Snyder, A. Z., Rich, P. R., Benzinger, T. L. S., Fagan, A. M., Holtzman, D. M., Morris, J. C., & Ances, B. M. (2013) · Neuropsychology · doi:10.1037/a0033402 · Cited by 59
Long-Term Measurements of Human Inflammatory Cytokines Reveal Complex Baseline Variations between Individuals
Wu, D., Dinh, T. L., Bausk, B., & Walt, D. R. (2017) · American Journal Of Pathology · doi:10.1016/j.ajpath.2017.08.007 · Cited by 57
FDA drug labeling: rich resources to facilitate precision medicine, drug safety, and regulatory science
Fang, H., Harris, S. C., Liu, Z., Zhou, G., Zhang, G., Xu, J., Rosario, L., Howard, P. C., & Tong, W. (2016) · Drug Discovery Today · doi:10.1016/j.drudis.2016.06.006 · Cited by 56
Accelerating Biomarker Discovery Through Electronic Health Records, Automated Biobanking, and Proteomics
Wells, Q. S., Gupta, D. K., Smith, J. G., Collins, S. P., Storrow, A. B., Ferguson, J. F., Smith, M. L., Pulley, J. M., Collier, S. P., Wang, X., et al. (2019) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2019.01.074 · Cited by 56
Structural, Functional, and Clinical Characterization of a Novel PTPN11 Mutation Cluster Underlying Noonan Syndrome
Pannone, L., Bocchinfuso, G., Flex, E., Rossi, C., Baldassarre, G., Lißewski, C., Pantaleoni, F., Consoli, F., Lepri, F. R., Magliozzi, M., et al. (2017) · Human Mutation · doi:10.1002/humu.23175 · Cited by 55
Self-citation
A universal genetic testing initiative for patients with high-grade, non-mucinous epithelial ovarian cancer and the implications for cancer treatment
Bednar, E. M., Oakley, H. D., Sun, C. C., Burke, C. C., Munsell, M. F., Westin, S. N., & Lu, K. H. (2017) · Gynecologic Oncology · doi:10.1016/j.ygyno.2017.05.037 · Cited by 55
Keep Up the Pace: Declines in Simple Repetitive Timing Differentiate Healthy Aging from the Earliest Stages of Alzheimer's Disease
Bangert, A. S., & Balota, D. A. (2012) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617712000860 · Cited by 52
Precision medicine in the age of big data: The present and future role of large‐scale unbiased sequencing in drug discovery and development
Vicini, P., Fields, O., Lai, E., Litwack, E. D., Martin, A., Morgan, T., Pacanowski, M., Papaluca, M., Perez, O. D., Ringel, M. S., et al. (2015) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.293 · Cited by 50
Supramolecular Nanogel‐Based Universal Drug Carriers Formed by “Soft–Hard” Co‐Assembly: Accurate Cancer Diagnosis and Hypoxia‐Activated Cancer Therapy
Zhang, X., Chen, X., Wang, H.-Y., Jia, H., & Wu, F. (2019) · Advanced Therapeutics · doi:10.1002/adtp.201800140 · Cited by 50
Predictable response: Finding optimal drugs and doses using artificial intelligence
Chakradhar, S. (2017) · Nature Medicine · doi:10.1038/nm1117-1244 · Cited by 49
Broad Scale and Structure Fabrication of Healthcare Materials for Drug and Emerging Therapies via Electrohydrodynamic Techniques
Mehta, P., Zaman, A., Smith, A., Rasekh, M., Haj‐Ahmad, R., Arshad, M. S., van der Merwe, S. M., Chang, M., & Ahmad, Z. (2018) · Advanced Therapeutics · doi:10.1002/adtp.201800024 · Cited by 48
Protein Counting in Single Cancer Cells
Schubert, S. M., Walter, S. R., Manesse, M., & Walt, D. R. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.6b00146 · Cited by 46
Establishment of human pluripotent stem cell-derived pancreatic β-like cells in the mouse pancreas
Ma, H.-T., Wert, K., Shvartsman, D., Melton, D., & Jaenisch, R. (2018) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1702059115 · Cited by 44
A research roadmap for next-generation sequencing informatics
Altman, R. B., Prabhu, S., Sidow, A., Zook, J. M., Goldfeder, R. L., Litwack, D., Ashley, E. A., Asimenos, G., Bustamante, C. D., Donigan, K. A., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf7314 · Cited by 42
Single‐Layer Ternary Chalcogenide Nanosheet as a Fluorescence‐Based “Capture‐Release” Biomolecular Nanosensor
Kenry, K., Geldert, A., Lai, Z., Huang, Y., Yu, P., Tan, C., Liu, Z., Zhang, H., & Lim, C. T. (2016) · Small · doi:10.1002/smll.201601925 · Cited by 41
Effective drug combination for Caenorhabditis elegans nematodes discovered by output-driven feedback system control technique
Ding, X., Njus, Z. L., Kong, T., Su, W., Ho, C., & Pandey, S. (2017) · Science Advances · doi:10.1126/sciadv.aao1254 · Cited by 41
Self-citation
EGFR-targeted therapy results in dramatic early lung tumor regression accompanied by imaging response and immune infiltration in EGFR mutant transgenic mouse models
Venugopalan, A., Lee, M.-J., Niu, G., Medina-Echeverz, J., Tomita, Y., Lizak, M. J., Cultraro, C. M., Simpson, R. M., Chen, X., Trepel, J. B., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.11021 · Cited by 40
Optimizing Combination Therapy for Acute Lymphoblastic Leukemia Using a Phenotypic Personalized Medicine Digital Health Platform: Retrospective Optimization Individualizes Patient Regimens to Maximize Efficacy and Safety
Lee, D.-K., Chang, V. Y., Kee, T. W., Ho, C., & Ho, D. (2016) · SLAS TECHNOLOGY · doi:10.1177/2211068216681979 · Cited by 39
Self-citation
Prediction of drug cocktail effects when the number of measurements is limited
Zimmer, A., Tendler, A., Katzir, I., Mayo, A., & Alon, U. S. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2002518 · Cited by 39
Harnessing CURATE.AI as a Digital Therapeutics Platform by Identifying N‐of‐1 Learning Trajectory Profiles
Kee, T. W., Weiyan, C., Blasiak, A., Wang, P., Chong, J. K., Chen, J., Yeo, B. T. T., Ho, D., & Asplund, C. L. (2019) · Advanced Therapeutics · doi:10.1002/adtp.201900023 · Cited by 39
Self-citation
Intensive Measurement Designs for Research on Aging
Rast, P., MacDonald, S. W. S., & Hofer, S. M. (2012) · GeroPsych · doi:10.1024/1662-9647/a000054 · Cited by 38
Personalized Cardiovascular Medicine Today
Blaus, A., Madabushi, R., Pacanowski, M. A., Rose, M., Schuck, R. N., Stockbridge, N., Temple, R., & Unger, E. F. (2015) · Circulation · doi:10.1161/circulationaha.114.009761 · Cited by 38
Re-inventing drug development: A case study of the I-SPY 2 breast cancer clinical trials program
Das, S., & Lo, A. W. (2017) · Contemporary Clinical Trials · doi:10.1016/j.cct.2017.09.002 · Cited by 38
Maximizing Efficiency of Artificial Intelligence‐Driven Drug Combination Optimization through Minimal Resolution Experimental Design
Lim, J. J., Goh, J., Rashid, M. B. M. A., & Chow, E. K. (2019) · Advanced Therapeutics · doi:10.1002/adtp.201900122 · Cited by 37
Self-citation
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Rashid, M. B. M. A., Toh, T. B., Silva, A., Abdullah, L. N., Ho, C., Ho, D., & Chow, E. K. (2015) · SLAS TECHNOLOGY · doi:10.1177/2211068215579612 · Cited by 36
Self-citation
Information and Artificial Intelligence
Jha, S. K., & Topol, E. J. (2018) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2017.12.025 · Cited by 36
A Microfluidic Cell Concentrator
Warrick, J. W., Casavant, B. P., Frisk, M. L., & Beebe, D. J. (2010) · Analytical Chemistry · doi:10.1021/ac101866p · Cited by 35
Could Digital Therapeutics be a Game Changer in Psychiatry?
Cho, C., & Lee, H. (2019) · Psychiatry Investigation · doi:10.30773/pi.2019.01.20 · Cited by 35
Mastering Translational Medicine: Interdisciplinary Education for a New Generation
Kurpinski, K. T., Johnson, T., Kumar, S., Desai, T. A., & Li, S. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3006858 · Cited by 34
Multiplexed laser particles for spatially resolved single-cell analysis
Kwok, S. J. J., Martino, N., Dannenberg, P. H., & Yun, S. H. (2019) · Light Science & Applications · doi:10.1038/s41377-019-0183-5 · Cited by 34
Discovery of a low order drug-cell response surface for applications in personalized medicine
Ding, X., Liu, W., Weiss, A., Li, Y., Wong, I., Griffioen, A. W., van den Bergh, H., Xu, H., Nowak-Sliwinska, P. M., & Ho, C. (2014) · Physical Biology · doi:10.1088/1478-3975/11/6/065003 · Cited by 33
Self-citation
Diamonds, Digital Health, and Drug Development: Optimizing Combinatorial Nanomedicine
Ho, D., Zarrinpar, A., & Chow, E. K. (2016) · ACS Nano · doi:10.1021/acsnano.6b06174 · Cited by 33
Self-citation
C4B null alleles are not associated with genetic polymorphisms in the adjacent gene CYP21A2in autism
Sweeten, T. L., Odell, D. W., Odell, J. D., & Torres, A. (2008) · BMC Medical Genetics · doi:10.1186/1471-2350-9-1 · Cited by 32
Patient-centered clinical trials
Chaudhuri, S. E., Ho, M., Irony, T., Sheldon, M. I., & Lo, A. W. (2017) · Drug Discovery Today · doi:10.1016/j.drudis.2017.09.016 · Cited by 32
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Pattichis, C. S., & Panayides, A. S. (2019) · Frontiers in Digital Health · doi:10.3389/fdgth.2019.00001 · Cited by 30
Highly conductive 3D metal-rubber composites for stretchable electronic applications
Zhao, Y., Yang, W., Tan, Y. J., Li, S., Zeng, X., Liu, Z., & Tee, B. C. K. (2019) · APL Materials · doi:10.1063/1.5083942 · Cited by 29
Prostate Cancer Screening in a New Era of Genetics
Cheng, H. H., Pritchard, C. C., Montgomery, B., Lin, D. W., & Nelson, P. S. (2017) · Clinical Genitourinary Cancer · doi:10.1016/j.clgc.2017.05.024 · Cited by 28
Harnessing Artificial Intelligence to Optimize Long‐Term Maintenance Dosing for Antiretroviral‐Naive Adults with HIV‐1 Infection
Shen, Y., Liu, T. “., Chen, J., Li, X., Liu, L., Shen, J., Wang, J., Zhang, R., Sun, M., Wang, Z., et al. (2019) · Advanced Therapeutics · doi:10.1002/adtp.201900114 · Cited by 28
Self-citation
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Yong, W. P., Rha, S. Y., Tan, I. B., Choo, S.-P., Syn, N. L. X., Koh, V., Tan, S.-H., Asuncion, B. R., Sundar, R., So, J. B. Y., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-0193 · Cited by 27
Self-citation
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Cohen, J. (2019) · Science · doi:10.1126/science.aay9569 · Cited by 27
Engineering as a new frontier for translational medicine
Chien, S., Bashir, R., Nerem, R. M., & Pettigrew, R. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa4325 · Cited by 26
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Zhang, L., Beasley, S., Prigozhina, N. L., Higgins, R., Ikeda, S., Lee, F. Y., Marrinucci, D. C., & Jia, S. (2016) · Journal of Circulating Biomarkers · doi:10.5772/64124 · Cited by 23
Synthetic, Supramolecular, and Self‐Adjuvanting CD8 + T‐Cell Epitope Vaccine Increases the Therapeutic Antitumor Immunity
Yang, P., Song, H., Feng, Z., Wang, C., Huang, P., Zhang, C., Kong, D., & Wang, W. (2019) · Advanced Therapeutics · doi:10.1002/adtp.201900010 · Cited by 23
High fidelity hypothermic preservation of primary tissues in organ transplant preservative for single cell transcriptome analysis
Wang, W., Penland, L., Gokce, O., Croote, D., & Quake, S. R. (2018) · BMC Genomics · doi:10.1186/s12864-018-4512-5 · Cited by 23
Self-citation
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Xu, J., Potter, M., Tomas, C., Elson, J. L., Morten, K., Poulton, J., Wang, N., Jin, H., Hou, Z., & Huang, W. E. (2018) · The Analyst · doi:10.1039/c8an01437j · Cited by 22
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He, L., Liu, J., Li, S., Feng, X., Wang, C., Zhuang, X., Ding, J., & Chen, X. (2019) · Advanced Therapeutics · doi:10.1002/adtp.201800122 · Cited by 22
Correlations of Salivary Biomarkers with Clinical Assessments in Patients with Cystic Fibrosis
Nie, S., Zhang, H., Mayer, K. M., Oppenheim, F. G., Little, F. F., Greenberg, J., Uluer, A., & Walt, D. R. (2015) · PLoS ONE · doi:10.1371/journal.pone.0135237 · Cited by 21
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Liu, Q., Zhang, C. L., Ding, X., Deng, H., Zhang, D., Cui, W., Xu, H., Wang, Y., Xu, W., Lv, L., et al. (2015) · Scientific Reports · doi:10.1038/srep11464 · Cited by 21
Self-citation
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Hochmair, M. J., Holzer, S., & Burghuber, O. C. (2016) · Anti-Cancer Drugs · doi:10.1097/cad.0000000000000410 · Cited by 21
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O’Kane, P. T., & Mrksich, M. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.7b03805 · Cited by 18
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
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Tafuri, W. L., de Lana, M., Chiari, E., Caliari, M. V., Bambirra, E. A., Rios-Leite, V. H., & Barbosa, A. J. A. (1988) · Revista da Sociedade Brasileira de Medicina Tropical · doi:10.1590/s0037-86821988000200010 · Cited by 17
Banking with precision: transfusion medicine as a potential universal application in clinical genomics
Montemayor, C., Brunker, P. A. R., & Keller, M. (2019) · Current Opinion in Hematology · doi:10.1097/moh.0000000000000536 · Cited by 17
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Ding, X., Chang, V. H. S., Li, Y., Li, X., Xu, H., Ho, C., Ho, D., & Yen, Y. (2019) · Advanced Therapeutics · doi:10.1002/adtp.201900127 · Cited by 17
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Yan, B., Hu, Y., Ban, K. H.-K., Tiang, Z., Ng, C., Lee, J., Tan, W. L. W., Chiu, L., Tan, T. W., Seah, E., et al. (2017) · Oncology Letters · doi:10.3892/ol.2017.5669 · Cited by 16
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Zenke, Y., Umemura, S., Sugiyama, E., Kirita, K., Matsumoto, S., Yoh, K., Niho, S., Ohmatsu, H., & Goto, K. (2016) · Lung Cancer · doi:10.1016/j.lungcan.2016.05.002 · Cited by 15
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Smyth, E. C., Zhang, S., Cunningham, D., Wotherspoon, A. C., Soong, R., Peckitt, C., Valeri, N., Fassan, M., Rugge, M., Okines, A. F. C., et al. (2017) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-16-3142 · Cited by 15
Self-citation
Genomic predictors of chemotherapy efficacy in advanced or recurrent gastric cancer in the GC0301/TOP002 phase III clinical trial
Das, K., Taguri, M., Imamura, H., Sugimoto, N., Nishikawa, K., Yoshida, K., Tan, P. B. O., & Tsuburaya, A. (2017) · Cancer Letters · doi:10.1016/j.canlet.2017.10.011 · Cited by 13
Self-citation
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Ando, D. G., & Meyer, K. E. (2017) · Hematology/Oncology Clinics of North America · doi:10.1016/j.hoc.2017.06.002 · Cited by 12
Making N-of-1 Medicine a Reality
Ho, D., & Zarrinpar, A. (2017) · SLAS TECHNOLOGY · doi:10.1177/2472630317702449 · Cited by 7
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See all 522

Authors: Ho, D., Quake, S. R., McCabe, E. R. B., Chng, W. J., Chow, E. K., Ding, X., Gelb, B. D., Ginsburg, G. S., Hassenstab, J., Ho, C.-M., Mobley, W. C., Nolan, G. P., Rosen, S. T., Tan, P., Yen, Y., & Zarrinpar, A.
Affiliations: National University of Singapore (SG)
Chan Zuckerberg Biohub San Francisco (US)
March of Dimes (US)
Shanghai Jiao Tong University (CN)
Icahn School of Medicine at Mount Sinai (US)
Duke University (US)
Washington University in St. Louis (US)
University of California, Los Angeles (US)
University of California San Diego (US)
Stanford University (US)
City Of Hope National Medical Center (US)
Taipei Medical University (TW)
University of Florida Health (US)
Corresponding author: Ho, Dean
McCabe, Edward R.B.
ORCID: Ho, Dean
Quake, Stephen R.
McCabe, Edward R.B.
Chng, Wee Joo
Chow, Edward K.
Ding, Xianting
Gelb, Bruce D.
Ginsburg, Geoffrey S.
Hassenstab, Jason
Ho, Chih-Ming
Mobley, William C.
Nolan, Garry P.
Rosen, Steven T.
Tan, Patrick
Yen, Yun
Zarrinpar, Ali
Venue: Trends in Biotechnology
Publisher: Elsevier BV
Published: 2020-05
Volume: 38
Issue: 5
Pages: 497-518
ISSN: 0167-7799 (ISSN-L)
DOI: 10.1016/j.tibtech.2019.12.021
PMC: PMC7924935
OpenAlex: W3001878481
Cited by: 517
References: 212
Citations by year: 2026: 97 · 2025: 143 · 2024: 106 · 2023: 67 · 2022: 48 · 2021: 39 · 2020: 17
FWCI: 7.24
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Trends in biotechnology (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
eScholarship (California Digital Library) (submittedVersion)
Funders: V Foundation for Cancer Research
National Research Foundation Singapore
Wallace H. Coulter Foundation
National Institutes of Health
Ministry of Education - Singapore
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced Biosensing Techniques and Applications
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
Keywords: personalized medicine, precision medicine, biomarker discovery, disease signatures, personalized treatment, drug selection, dose optimization, enabling technologies, individualized care
MeSH terms: Artificial Intelligence, Diagnosis, Humans, Therapeutics, Biomarkers, Precision Medicine

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