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Personalized medicine: Time for one-person trials

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  • Nicholas J. Schork

    (Nicholas J. Schork is director of human biology at the J. Craig Venter Institute in La Jolla, California, USA. He is also professor at the University of California, San Diego, and at the Translational Genomics Research Institute (TGen) in Phoenix, Arizona, USA.)

Abstract

Precision medicine requires a different type of clinical trial that focuses on individual, not average, responses to therapy, says Nicholas J. Schork.

Suggested Citation

  • Nicholas J. Schork, 2015. "Personalized medicine: Time for one-person trials," Nature, Nature, vol. 520(7549), pages 609-611, April.
    • Handle: RePEc:nat:nature:v:520:y:2015:i:7549:d:10.1038_520609a
    DOI: 10.1038/520609a
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    Cited by:

    1. Terri L. Griffith & Emma S. Nordbäck & John E. Sawyer & Ronald E. Rice, 2018. "Field study of complements to supervisory leadership in more and less flexible work settings," Journal of Organization Design, Springer;Organizational Design Community, vol. 7(1), pages 1-26, December.
    2. Levaggi, Laura & Levaggi, Rosella, 2024. "Competition, value-based prices and incentives to research personalised drugs," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    3. Zheng, Kaiming & Wang, Xiaoyuan & Ni, Debing, 2021. "Reciprocity information and wage personalization," China Economic Review, Elsevier, vol. 68(C).
    4. Xiaoyu Cheng, 2022. "Robust Data-Driven Decisions Under Model Uncertainty," Papers 2205.04573, arXiv.org.
    5. Zanin, Massimiliano & Tuñas, Juan Manuel & Bailly, Sébastien & Pépin, Jean Louis & Hainaut, Pierre & Menasalvas, Ernestina, 2019. "Characterising obstructive sleep apnea patients through complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 196-202.
    6. Aikaterini Solomou & Antonios Pikoulas & Vasileios Patriarcheas, 2019. "Merging Medical Imaging with Molecular Genetics for “Tailor-Made†Therapy in Oncology," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 17(3), pages 12893-12895, April.
    7. Emily H. Ho & David Hagmann & George Loewenstein, 2021. "Measuring Information Preferences," Management Science, INFORMS, vol. 67(1), pages 126-145, January.
    8. Qiong Zhang & Amin Khademi & Yongjia Song, 2022. "Min-Max Optimal Design of Two-Armed Trials with Side Information," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 165-182, January.
    9. Takuji Usui & Malcolm R Macleod & Sarah K McCann & Alistair M Senior & Shinichi Nakagawa, 2021. "Meta-analysis of variation suggests that embracing variability improves both replicability and generalizability in preclinical research," PLOS Biology, Public Library of Science, vol. 19(5), pages 1-20, May.
    10. Lazaro M Sanchez-Rodriguez & Yasser Iturria-Medina & Erica A Baines & Sabela C Mallo & Mehdy Dousty & Roberto C Sotero & on behalf of The Alzheimer’s Disease Neuroimaging Initiative, 2018. "Design of optimal nonlinear network controllers for Alzheimer's disease," PLOS Computational Biology, Public Library of Science, vol. 14(5), pages 1-24, May.
    11. Anja Pahor & Aaron R. Seitz & Susanne M. Jaeggi, 2022. "Near transfer to an unrelated N-back task mediates the effect of N-back working memory training on matrix reasoning," Nature Human Behaviour, Nature, vol. 6(9), pages 1243-1256, September.
    12. Beibei Guo & Rui Zhang, 2018. "Photographic Capture-Recapture for Free-Roaming Dog Population Estimation: Is It Possible to Optimize the Dog Photo-Identification?," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 5(3), pages 88-90, February.

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