Promises, promises, and precision medicine

Molecularly targeted therapy based on tumour molecular profiling versus conventional therapy for advanced cancer (SHIVA): a multicentre, open-label, proof-of-concept, randomised, controlled phase 2 trial

Le Tourneau, C., Delord, J.-P., Gonçalves, A., Gavoille, C., Dubot, C., Isambert, N., Campone, M., Trédan, O., Massiani, M.-A., Mauborgne, C., et al. (2015) · The Lancet Oncology · doi:10.1016/s1470-2045(15)00188-6 · Cited by 1,137

Medical and Ethical Consequences of the Human Genome Project

Collins, F. S. (1991) · The Journal of Clinical Ethics · doi:10.1086/jce199102411 · Cited by 663

Medical and Societal Consequences of the Human Genome Project

Collins, F. S. (1999) · New England Journal of Medicine · doi:10.1056/nejm199907013410106 · Cited by 586

Cigarette smoking and lung cancer—relative risk estimates for the major histological types from a pooled analysis of case–control studies

Pesch, B., Kendzia, B., Gustavsson, P., Jöckel, K., Johnen, G., Pohlabeln, H., Olsson, A., Ahrens, W., Gross, I. M., Brüske, I., et al. (2012) · International Journal of Cancer · doi:10.1002/ijc.27339 · Cited by 509

The impact of communicating genetic risks of disease on risk-reducing health behaviour: systematic review with meta-analysis

Hollands, G. J., French, D., Griffin, S. J., Prevost, A. T., Sutton, S. R., King, S., & Marteau, T. M. (2016) · BMJ · doi:10.1136/bmj.i1102 · Cited by 499

Estimation of the Percentage of US Patients With Cancer Who Benefit From Genome-Driven Oncology

Marquart, J. P., Chen, E. Y.-S., & Prasad, V. K. (2018) · JAMA Oncology · doi:10.1001/jamaoncol.2018.1660 · Cited by 386

Functional precision cancer medicine—moving beyond pure genomics

Letai, A. (2017) · Nature Medicine · doi:10.1038/nm.4389 · Cited by 366

When Quality Beats Quantity: Decision Theory, Drug Discovery, and the Reproducibility Crisis

Scannell, J. W., & Bosley, J. (2016) · PLOS ONE · doi:10.1371/journal.pone.0147215 · Cited by 279

Genotype-Guided vs Clinical Dosing of Warfarin and Its Analogues

Stergiopoulos, K., & Brown, D. (2014) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.2368 · Cited by 125

Predicting Polygenic Obesity Using Genetic Information

Loos, R. J. F., & Janssens, A. C. J. W. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.02.013 · Cited by 120

Pharmaceutical contributions to personalized medicine

Perlmutter, R. M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198863465.003.0019 · Cited by 2

Personalized Treatments: Where Patient’s History and Biological Background Meet

Bizzarri, M., Pensotti, A., Cucina, A., Monti, N., & Fedeli, V. (2022) · Human perspectives in health sciences and technology · doi:10.1007/978-3-030-74804-3_4 · Cited by 3

Artificial intelligence for science and engineering: A priority for public investment in research and development

Hey, T. (2023) · OECD eBooks · doi:10.1787/7b7b1bce-en · Cited by 4

Toward the Next Generation of Precision Medicine

Verhulst, B., & Benstock, S. E. (2023) · Policy Insights from the Behavioral and Brain Sciences · doi:10.1177/23727322231197765 · Cited by 2

Genetic biomarkers of skiers from the Oğlağo Tribe in Muş Province, Turkey: An analysis of ACTN3, VEGF-A, and GABPB1 polymorphisms

Kaynar, Ö., Polat, T., KOÇ, H., Ferhatoğlu, Y., Yılmaz, Ö. Ö., Aslan, B. T., Ulucan, K., & Gómez-Salgado, J. C. (2025) · Medicine · doi:10.1097/md.0000000000042429 · Cited by 2

Combined single-cell RNA-seq and bulk RNA-seq construction of M2 TAMs signature for predicting HNSCC prognosis and immunotherapy

Wang, J., Li, H., Shi, M., Ren, C., Wu, W., Zhao, Q., He, X., Yang, Z., Wei, J., & Yang, X. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1620931 · Cited by 2

Great future or greedy venture: Precision medicine needs philosophy

Jiao, F., Guo, R., Beckmann, J. S., Yan, Z., Yang, Y. P., Hu, J., Wang, X., & Xie, S. (2021) · Health Science Reports · doi:10.1002/hsr2.376 · Cited by 1

Plagues, Cyborgs, and Supersoldiers: The Human Domain of War

Matthews, L. J., Lee, M., De Bruhl, B. F., Elinoff, D., & Eusebi, C. A. (2024) · RAND Corporation eBooks · doi:10.7249/rra2520-1 · Cited by 2

Risk-Benefit Assessment of Intense Blood Pressure Lowering

Jordan, J., Tank, J., & Reuter, H. (2019) · Hypertension · doi:10.1161/hypertensionaha.119.13835 · Cited by 2

The historical background of personalized medicine

Guillén, D. G. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198863465.003.0002 · Cited by 1

Precision Medicine for the Population—The Hope and Hype of Public Health Genomics

Wu, J., & Comfort, N. (2023) · CHANCE · doi:10.1080/09332480.2023.2264730 · Cited by 1

Associations between past infectious mononucleosis diagnosis and 47 inflammatory and vascular stress biomarkers

Kristjansson, R. P., Dietz, J. B., Davidsson, O. B., Kjerulff, B. D., Rostgaard, K., Dowsett, J., Søegaard, S. H., Rotbain, E. C., Schwinn, M., Burgdorf, K. S., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-95276-4 · Cited by 1

The Danger of Precision Medicine Hesitancy

Demichelis, A. (2025) · Global Philosophy · doi:10.1007/s10516-025-09747-4 · Cited by 2

Decoding non-coding SNPs: systems genomics modelling dissects the heterogeneity of IBD

Módos, D., Thomas, J. P., Brooks-Warburton, J., Poletti, M., Bohár, B., Liu, Y., Madgwick, M., Csabai, L., Kang, W.-X., Alexander-Dann, B., et al. (2025) · Molecular Systems Biology · doi:10.1038/s44320-025-00169-3 · Cited by 2

Precision Medicine Through Network Language: Integrating Clinical Insight and Data Expertise

Palumbo, M. C., Farina, L., & Petti, M. (2026) · Genes · doi:10.3390/genes17040467 · Cited by 2

As If By Design: How Creative Behaviors Really Evolve

Wasserman, E. A. (2021) · Cited by 1

Genomics and precision medicine

Moazam, F. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198863465.003.0006 · Cited by 1

Lessons from shortcomings in machine learning for medical imaging

Varoquaux, G. P., & Cheplygina, V. (2023) · OECD eBooks · doi:10.1787/b885eecd-en · Cited by 2

Toward an integrative approach to translational exercise biomedicine

Fan, C., Wang, X., Lei, S., & Sun, J. (2024) · Translational Exercise Biomedicine · doi:10.1515/teb-2024-2003 · Cited by 1

Genetic Markers in Predicting Three Common Vascular Diseases

Fisher, S., Trivett, C., Zhou, M., Graham, D., & McBride, M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15512-3.00055-6 · Cited by 1

Multiomics in cardiovascular diseases

Jeelani, A., Ayaz, A., Ali, A., Bhat, M. S., Dar, M. A., Mujtaba, H., Ahmad, S. B., & Rehman, M. U. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23971-7.00004-3 · Cited by 1

Toward equitable precision medicine: Investigating the transferability of deep learning models in clinical genetics across diverse populations

Mokuolu, O. A., Ambrose, G. O., Abdulkadir, M. B., Ibrahim, S., Funsho, I. I., Mokuolu, T., & Akinmeji, K. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-27523-4.00019-6 · Cited by 1

Precision medicine: Rare diseases and community genetics

Bittles, A. H. (2019) · Digital Medicine · doi:10.4103/digm.digm_29_19 · Cited by 1

Do We Need Precision Medicine in Stroke?

Fonseca, A. C. (2021) · Springer eBooks · doi:10.1007/978-3-030-70761-3_3 · Cited by 1

Präzisionsmedizin unter Nutzung der elektronischen Diabetesakte

Verket, M., Ickrath, M., Haizmann, M., Geldhäuser, R., Vité, S., Bitzer, B., & Müller‐Wieland, D. (2021) · Der Diabetologe · doi:10.1007/s11428-021-00826-9 · Cited by 1

Editorial: Educating Health Professionals in Genomic Medicine: Evidence-Based Strategies and Approaches

Metcalfe, S. A., Dougherty, M. J., & Gaff, C. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00696 · Cited by 1

Concerning Pharmacogenetics, Pharmacogenomics and Personalized Medicine

Senn, S. J. (2021) · Wiley eBooks · doi:10.1002/9781119238614.ch25 · Cited by 1

Accelerating precision medicine: a proposed framework for large-scale multiomics data integrity, interoperability, analysis, and collaboration in biomedical discoveryPreprint

Sriram, V., Conard, A. M., Rosenberg, I., Kim, D., & Hall, A. K. (2024) · medRxiv · doi:10.1101/2024.03.15.24304358 · Cited by 1

GASPS: A Multi-Omics Framework for Defining Genomic Aberration-Driven Signatures and Predicting Patient Outcomes in Lung CancerPreprint

Zhang, Z., Wang, X., Li, C., Ripley, R. T., Wu, J., Zhang, J., Amos, C. I., & Cheng, C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.21.671519 · Cited by 1

Precision Medicine and Complexity

Aron, D. C. (2019) · Springer eBooks · doi:10.1007/978-3-030-24593-1_13

Agnostische Tumortherapie – was ist das?

Schmidt, M., Hönig, A., Denkert, C., & Desuki, A. (2021) · Der Gynäkologe · doi:10.1007/s00129-021-04788-3

Personalized Medicine

Wasserman, E. A. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108774895.019

Medicine

Wasserman, E. A. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108774895.012

The Vignettes

Wasserman, E. A. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108774895.005

Islamic Sunni perspectives on the ethics of precision medicine

Suleman, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198863465.003.0017

Personalized medicine and disorders of consciousness

Fins, J. J. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198863465.003.0010

The revolution of personalized medicine is already upon us in rare diseases

Austin, C. P. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198863465.003.0009

Gender and personalized medicine

Legato, M. J. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198863465.003.0011

Personalized medicine and genetic newborn screening

Brusa, M., & Dickenson, D. L. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198863465.003.0008

Genetics, genetic profiles, and Jewish law

Weissinger, Y., & Barilan, Y. M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198863465.003.0018

Precision and persons in medicine

Barilan, Y. M., & Brusa, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198863465.003.0001

Quantitative imaging analysis

Refaee, T. (2022) · doi:10.26481/dis.20220712tr

Representation of the External Exposome in Ontologies: A Scoping Review (Preprint)Preprint

Diller, M. A., Yin, P., Brochhausen, M., Bian, J., Hu, H. Z., & Hogan, W. R. (2023) · doi:10.2196/preprints.49568

Precision Medicine

Molnár‐Gábor, F. (2023) · Collaborative bioethics · doi:10.1007/978-3-031-29451-8_23

High-performance computing leadership to enable advances in artificial intelligence and a thriving compute ecosystem

Tourassi, G. D., Shankar, M. A., & Wang, F. (2023) · OECD eBooks · doi:10.1787/0e1b4c2f-en

Eroom’s Law and the decline in the productivity of biopharmaceutical R&D

Scannell, J. W. (2023) · OECD eBooks · doi:10.1787/6f256d17-en

The end of Moore’s Law? Innovation in computer systems continues at a high pace

Kressel, H. (2023) · OECD eBooks · doi:10.1787/63e48242-en · Cited by 1

Quantifying the “cognitive extent” of science and how it has changed over time and across countries

Milojević, S. (2023) · OECD eBooks · doi:10.1787/1f717652-en

Interpretability: Should – and can – we understand the reasoning of machine-learning systems?

Cartwright, H. (2023) · OECD eBooks · doi:10.1787/2d0478b9-en

Preface

OECD (2023) · OECD eBooks · doi:10.1787/f1262928-en

Quantitative AI based on evolutionary computation and information theory combined with mathematical functions yields algorithmic RNA biomarkers from a randomized rheumatoid arthritis clinical trial, accurately predicting individual patient responses to anti-TNF treatment, to enable precision medicinePreprint

Horgan, K., McDermott, M. F., Harrington, D. S., Simonyan, V. V., & Lilley, P. (2024) · medRxiv · doi:10.1101/2024.01.29.24301910 · Cited by 1

Preface

Barilan, Y. M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198863465.002.0005

Author’s Biography

Barilan, Y. M., Brusa, M., & Ciechanover, A. J. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198863465.002.0006

Copyright Page

Barilan, Y. M., Brusa, M., & Ciechanover, A. J. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198863465.002.0003

Investigación y desarrollo de metodología avanzada de segmentación de la médula espinal cervical a partir de imágenes RM para la ayuda al diagnóstico y seguimiento de pacientes de Esclerosis Múltiple

Gómez, A. B. (2024) · RiuNet (Universitat Politècnica de València) · doi:10.4995/thesis/10251/205742

Tailored Therapy Regimes Using Digital Twins

Sathish, A., Ranjan, A., & Mahek, A. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-5893-1.ch006

REVOLUTIONIZING CARDIOVASCULAR CRITICAL CARE: THE PROMISE OF PERSONALIZED THERAPIES BASED ON GENETIC PROFILING

de Oliveira, P. L. S. P., Viduedo, P. H. Z., Martins, V. B. L., Destêfani, A. C., & Destefani, V. C. (2024) · Revista Ibero-Americana de Humanidades, Ciências e Educação · doi:10.51891/rease.v10i8.15340

Aladynoulli: A Bayesian approach to disease progression modeling for genomic discovery and clinical predictionPreprint

Urbut, S., Ding, Y., Nakao, T., Jiang, X., Misra, A., Hornsby, W., Smoller, J. W., Gusev, A., Natarajan, P., & Parmigiani, G. (2024) · medRxiv · doi:10.1101/2024.09.29.24314557

The Case Study of NCI-COG Pediatric MATCH Trial

Ye, J., & Nie, L. (2024) · ICSA book series in statistics · doi:10.1007/978-3-031-60843-8_2

Quantitative AI yields algorithmic RNA biomarkers from a rheumatoid arthritis clinical trial, accurately predicting individual patient responses to anti-TNF treatment, providing a novel approach to companion diagnostic discovery.

Horgan, K., McDermott, M., Harrington, D. S., Simonyan, V. V., & Lilley, P. (2025) · F1000Research · doi:10.12688/f1000research.164015.1

Precision medicine: Tailoring therapeutics through advanced modeling strategies

Singh, S., Singh, P., & Singh, T. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33877-9.00018-5

Achieving Precision in Healthcare: A Path Forward

Joshi, D. M. (2025) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9798898813512125010005

Additional file 3 of NAT10 as a potential prognostic biomarker and therapeutic target for HNSCC

Tao, W., Tian, G., Xu, S., Li, J., Zhang, Z., & Li, J. (2021) · Figshare · doi:10.6084/m9.figshare.15128579

Additional file 2 of NAT10 as a potential prognostic biomarker and therapeutic target for HNSCC

Tao, W., Tian, G., Xu, S., Li, J., Zhang, Z., & Li, J. (2021) · Figshare · doi:10.6084/m9.figshare.15128576

Additional file 1 of NAT10 as a potential prognostic biomarker and therapeutic target for HNSCC

Tao, W., Tian, G., Xu, S., Li, J., Zhang, Z., & Li, J. (2021) · Figshare · doi:10.6084/m9.figshare.15128573

Scientific Medicine

Marcum, J. A. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-44640-5.00003-7 · Cited by 1

CEP55's developmental MARCH : from structural biology of its Ubiquitin-Binding Domains to precision medicine through phenotypic screening of terminal cytokinesis

Boullé, M. (2021) · theses.fr (ABES) · doi:10.70675/0a20ec5cz222ez4b70za5e2z54dffe8e7e65

Wearables in Personalized and Precision Medicine

Almukhtar, Z., & Eappen, P. (2026) · Health informatics · doi:10.1007/978-3-032-23933-4_12

Toward personalized medicine for mal de débarquement syndrome

Maruta, J., Cho, C., & Yakushin, S. B. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1824869

Personalized drug discovery from rare diseases to cancer

Katanaev, V. L. (2026) · npj Drug Discovery. · doi:10.1038/s44386-026-00085-y

The “Selfish Cell”: The Central Role of Metabolism in Relaying Environmental Stimuli and Controlling Cellular Function

Matteo, S. D., & Gnocchi, D. (2026) · Biology · doi:10.3390/biology15191790

Promise of Precision Medicine

Chen, C. X., & Hay, J. W. (2015) · JAMA · doi:10.1001/jama.2015.11191 · Cited by 3

Promise of Precision Medicine—Reply

Ashley, E. A. (2015) · JAMA · doi:10.1001/jama.2015.11197

Realizing precision medicine.

Williams, M. S. (2013) · PubMed

A Precision Medicine Approach to Clinical Trials

Rubin, R. (2016) · JAMA · doi:10.1001/jama.2016.12137 · Cited by 11

The Precision Medicine Initiative

Ashley, E. A. (2015) · JAMA · doi:10.1001/jama.2015.3595 · Cited by 573