Innovation in life sciences; cook; sci-fi lover; prof @UmichLaw. No #manels. He/him. Single quotation marks: imperfect/quasi quotation.

Joined April 2014
1,281 Photos and videos
Nicholson Price (@nicholson@mastodon.lawprofs.org) retweeted
24 Sep 2024
Lu on Regulating Algorithmic Harms, lsolum.typepad.com/legaltheo…
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Nicholson Price (@nicholson@mastodon.lawprofs.org) retweeted
22 Jul 2024
🆕 Research Handbook on Health, #AI and the Law, edited by @ProfBarrySol and @CohenProf More info ➡️ e-elgar.com/shop/isbn/978180… This #OpenAccess title is 🆓 to download ➡️ elgaronline.com/edcollbook-o… @EffyVayena @CKonnoth @TiMinCeBIL @WNicholsonPrice @KasparRosager @VNRahimzadeh
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Nicholson Price (@nicholson@mastodon.lawprofs.org) retweeted
24 Jul 2024
Check out our @WNicholsonPrice & @CohenProf book chapter on liability for use of AI in medicine in this fantastic research handbook on health, AI & the Law @ProfBarrySol doi.org/10.4337/978180220565…

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I have a strong recollection of a study showing that #medicalAI studies (or devices) typically didn't report demographics of their data, and that the ones that did were biased. But I can't find it. Anyone know what I'm talking about?
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AI is touted as a gamechanger for drug development across the whole cycle. Is it? @LCDruedahl @AmeetSarpatwari, @TiMinCeBIL, & I find...maybe? Modest use, mostly in earlier discovery stages. Lots of potential left! @JAMANetworkOpen jamanetwork.com/journals/jam… #AI #drugs
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Nicholson Price (@nicholson@mastodon.lawprofs.org) retweeted
18 Jun 2024
🌟 Reflecting on Our "Current Ethical and Legal Issues in Medical AI" Seminar! 🌟On June 17, 2024, #CeBIL and Lifesciencelaw.dk explored key topics in medical AI: ethics, law, case studies, and collaboration. Thanks to all participants! #MedicalAI #Ethics #Law #Innovation
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Nicholson Price (@nicholson@mastodon.lawprofs.org) retweeted
The sufficiency of disclosure of medical artificial intelligence patents go.nature.com/3KP6Jd4
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Nicholson Price (@nicholson@mastodon.lawprofs.org) retweeted
17 Jun 2024
Hot off the press in @NatureBiotech "The Sufficiency of Disclosure of Medical AI Patents with @WNicholsonPrice @CeBIL_Center @cambridgelaw. Full text at: rdcu.be/dK4G4 or nature.com/articles/s41587-0… (1) To what extent are medical AI patents disclosed? How does this level of disclosure compare to the standards required in peer-reviewed journals publishing medical AI articles? (2) How does it compare to the legal standards? (3) What policy implications follow from the observed disclosures with medical AI patents?; and (4) How can we improve the quality of patent disclosures for AI-related inventions to enhance their ‘public value’?
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When a patient gets injured, who SHOULD be liable? (not who *is*, that's another thing). @cohenprof and I have thoughts! (spoiler: it's hospitals, with a huge caveat!) Final version in DePaul Law Review out now: ssrn.com/abstract=4517740 #ai #liability #medicalai
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Nicholson Price (@nicholson@mastodon.lawprofs.org) retweeted
Particularly proud of this @JAMANetworkOpen piece funded by @genome_gov where we asked 294 genetic researchers whether they are currently using data from diverse ancestral groups, why or why not, and how data stewards can encourage that use? 1/
In this survey study of US genetic researchers, respondents reported existing databases only provide adequate ancestral research data for European populations. Findings suggest there are specific gaps in access to and composition of genetic databases. ja.ma/3Q3Jyi8
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Nicholson Price (@nicholson@mastodon.lawprofs.org) retweeted
The final version of @WNicholsonPrice & my paper Locating Liability for Medical AI via.library.depaul.edu/law-r… part of the @DePaulLaw Review Clifford Torts symposium is now out. The paper is about how to allocate liability between hospitals and developers for medical AI errors.
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Nicholson Price (@nicholson@mastodon.lawprofs.org) retweeted
7 Mar 2024
We hear a lot about how AI could threaten the privacy and security of our health care data. But could too much privacy make our AI biased and less effective? @WNicholsonPrice thinks so. Nicholson makes the case on today's @tradeoffspod: tradeoffs.org/2024/03/07/ai-…
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Nicholson Price (@nicholson@mastodon.lawprofs.org) retweeted
We can't address technological #racism without addressing the structural racism in medicine first. When Algorithms and AI Perpetuate Medical Racism, Who’s Responsible? buff.ly/49K7RJx by @margoasnipe via @CapitalBNews CC: @NohaAboelataMD @KadijaFerryman @WNicholsonPrice
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Nicholson Price (@nicholson@mastodon.lawprofs.org) retweeted
Re-reading the fantastic article by @RebeccaCrootof, @MargotKaminski and @WNicholsonPrice about artificial intelligence regulation, which I am teaching tomorrow in my Law and Technologies and Life Seminar. This is a must read! papers.ssrn.com/sol3/papers.…

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Nicholson Price (@nicholson@mastodon.lawprofs.org) retweeted
#EveningRead Professor @WNicholsonPrice and co-authors ask, How can we enable local health systems to collaboratively & effectively govern #medicalAI? Read: "Enabling collaborative governance of medical AI" in @NatMachIntell: go.nature.com/3KDPhbF

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Nicholson Price (@nicholson@mastodon.lawprofs.org) retweeted
AI governance is the essential human component that ensures AI we use in healthcare carefully considers relevant human factors. But governance requires resources. In this paper, we outline how local governance can be done collaboratively to make it doable for smaller systems.
How can we enable local health systems to collaboratively & effectively govern #medicalAI? @kdpsinghlab, S. Bali, M. Sendak & I argue (today in @NatMachIntell) that a) it's tough; b) some tasks will be unavoidably local; & c) policy can help. Enjoy! @ rdcu.be/diYpU
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How can we enable local health systems to collaboratively & effectively govern #medicalAI? @kdpsinghlab, S. Bali, M. Sendak & I argue (today in @NatMachIntell) that a) it's tough; b) some tasks will be unavoidably local; & c) policy can help. Enjoy! @ rdcu.be/diYpU
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Nicholson Price (@nicholson@mastodon.lawprofs.org) retweeted
#EveningRead Profs. @WNicholsonPrice and @CohenProf (@Harvard_Law) on the features of medical AI that complicate the application of existing tort doctrines and render them ineffective at creating incentives for the safe and effective use of medical AI. papers.ssrn.com/sol3/papers.…

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