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Price, Nicholson

Professor of Law

921 Legal Research
Nicholson Price is a professor of law. He teaches and writes in the areas of intellectual property, health law, and regulation, particularly focusing on the law surrounding innovation in the life sciences. He previously was an assistant professor of law at the University of New Hampshire School of Law, an academic fellow at the Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School, and a visiting scholar at the University of California, Hastings College of the Law. Previously, he clerked for the Hon. Carlos T. Bea of the U.S. Court of Appeals for the Ninth Circuit. He received a JD and a PhD in biological sciences from Columbia University and an AB in biological sciences from Harvard College.‚Äč

Recent Publications

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"Acknowledgements as a Window into Legal Academia." Johnathan Tietz, co-author. Wash. U. L. Rev. 98, no. 1 (2021): 307-351.
Full Text: MLaw Repository | SSRN | WWW

"Clearing Opacity through Machine Learning." Co-authored by Arti K. Rai. Iowa L. Rev. 106, no. 2 (2021): 775-812.
Full Text: MLaw Repository | SSRN | WWW

"The Cost of Novelty." Colum. L. Rev. 119, no. 8 (2020): 769-833.
Full Text: MLaw Repository | SSRN | WWW

"Regulatory Responses to Medical Machine Learning." Timo Minssen, Sara Gerke, Mateo Aboy, and Glen Cohen, co-authors. J. L. & Biosciences 7, no. 1 (2020): 1-18.

"Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning." Ariel Dora Stern, co-author. Biostatistics 21, no. 2 (2020): 363-7.

"Knowledge Transfer for Large-Scale Vaccine Manufacturing." Arti K. Rai and Timo Minssen, co-authors. Science (2020).
Full Text: WWW

"Shadow Health Records Meet New Data Privacy Laws." Margot E. Kaminski, Timo Minssen, and Kayte Spector-Bagdady, co-authors. Science 363, no. 6426 (2019): 448-50.
Full Text: WWW

"Privacy in the Age of Medical Big Data." I. Glenn Cohen, Nature Medicine 25 (2019): 37-42.
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"Potential Liability for Physicians Using Artificial Intelligence." Glenn Cohen and Sara Gerke, co-authors. JAMA 322, no. 18 (2019): 1765-6.
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"Medical AI and Contextual Bias." Harv. J.L. & Tech. 33 (2019): 66-115.
Full Text: SSRN

"How Logically Impossible Patents Block Biosimilars." Arti K. Rai, co-author. Nature Biotechnology 37 (2019): 862-3.
Full Text: WWW

"Health Care AI: Law, Regulation, and Policy." Douglas Mcnair, co-author. In Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril, edited by Michael Matheny et al., 181-213. Washington, D.C.: The National Academy of Medicine, 2019.

"Grants." Berkeley Tech. L.J. 34, no. 1 (2019): 1-65.
Full Text: MLaw Repository | HEIN (UMich users) | HEIN | Lexis | Westlaw | SSRN | WWW

"Artificial Intelligence in the Medical System: Four Roles for Potential Transformation." Yale J.L. & Tech. 21 (2019): 122-32.
Full Text: SSRN | WWW

"Biobanks as Innovation Infrastructure for Translational Medicine." In Global Genes, Local Concerns: Legal, Ethical, and Scientific Challenges in International Biobanking, edited by Timo Minssen, Janne R. Herrmann, and Jens Schovsbo, 42-55. Cheltenham, U.K.: Edward Elgar Publishing, 2019.
Full Text: Elgar Online (UMich users) | Elgar Online

"Medical Malpractice and Black-Box Medicine." In Big Data, Health Law, and Bioethics, edited by I. Glenn Cohen et al., 295-306. Cambridge: Cambridge University Press, 2018.
Full Text: Cambridge Core (UMich users) | Cambridge Core

"Drug Approval in a Learning Health System." Minn. L. Rev. 102, no. 6 (2018): 2413-62.
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"Big Data and Black-Box Medical Algorithms." Science Translational Medicine 10, no. 471 (2018): eaao5333.
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"Risk and Resilience in Health Data Infrastructure." Colo. Tech. L.J. 16, no. 1 (2017): 65-85.
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"Regulating Black-Box Medicine." Mich. L. Rev. 116, no. 3 (2017): 421-74.
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"Promoting Healthcare Innovation on the Demand Side." R. S. Eisenberg, co-author. J.L. & Biosciences 4, no. 1 (2017): 3-49.
Full Text: MLaw Repository | Lexis | Westlaw | Oxford Journals (UMich users) | Oxford Journals | SSRN

"Expired Patents, Trade Secrets, and Stymied Competition." Notre Dame L. Rev. 92, no. 4 (2017): 1611-40.
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"Artificial Intelligence in Health Care: Applications and Legal Issues." SciTech Law. 14, no. 1 (2017): 10-3.
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"The Need for a Privacy Standard for Medical Devices That Transmit Protected Health Information Used in the Precision Medicine Initiative for Diabetes and Other Diseases." D. Klonoff, co-author. J. Diabetes Sci. & Tech. 11, no. 2 (2016): 220-3.
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"Regulating Secrecy." Wash. L. Rev. 91, no. 4 (2016): 1769-812.
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"Privacy and Accountability in Black-Box Medicine." R. Ford, co-author. Mich. Telecomm. & Tech. L. Rev. 23, no. 1 (2016): 1-43.
Full Text: MLaw Repository | HEIN (UMich users) | HEIN | Lexis | Westlaw

"Manufacturing Barriers to Biologics Competition and Innovation." A. Rai, co-author. Iowa L. Rev. 101, no. 3 (2016): 1023-63.
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"Codon Influence on Large-Scale Protein Expression Correlates with E. coli mRNA Levels." G. Boel et al., co-authors. Nature 529, no. 7586 (2016): 358-63.
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"Big Data, Patents, and the Future of Medicine." Cardozo L. Rev. 37, no. 4 (2016): 1401-53.
Full Text: HEIN (UMich users) | HEIN | Lexis | Westlaw | SSRN | WWW

Curriculum Interest Areas


Presented "Contextual Bias in Medical AI" at the On the Cutting Edge Symposium, University of Copenhagen, June 2019.

Presented "Data Fungibility" at the Health Law Professors Conference, Loyola University Chicago, June 2019.

Presented "Clearing Opacity" at the RIBS Junior Scholars Workshop, University of Copenhagen, June 2019.

Presented "Data Infrastructure, Law, and AI" at the Michigan Health Information Network Legal Summit, June 2019.

Moderator of the panel, "What Problem is AI Explainability Supposed to Solve?," at the University of Colorado/Silicon Flatirons Conference on Explainable AI, May 2019.

Served as a panelist on "Risks of Emerging Health Technologies" at the Promises and Perils of Emerging Health Innovations conference, Northeastern University, April 2019.

Served as a panelist on "Emerging Issues in AI and Healthcare" at Stanford Law School, April 2019.

Presented "Contextual Bias in Medical AI" at the University of Houston Law School, March 2019.

Presented "Data Fungibility" at BioLawLaPaLooZa 3.0, Stanford Law School, March 2019.

Presented "Innovation in Biopharmaceutical Manufacturing" at the Center for Advanced Studies in Biomedical Innovation Law, University of Copenhagen, March 2018.

Presented "Black-Box Medicine: Innovation and Regulation" at the Institute for Information Law, University of Amsterdam, March 2018.

Presented "Drug Approval in a Learning Health System" at the Law and Biosciences Colloquium, University of Utah, February 2018.

Presented at the South NeBrooklyn Workshop for Junior Faculty in Law and Technology, University of South Carolina, February 2018.

Presented at The Politics, Policy, and Law of Cancer Conference sponsored by the Solomon Center for Health Law and Policy, Yale Law School, February 2018.

Presented at the Junior IP Scholars Workshop, University of Oklahoma Law School, January 2018.