The ClinGen Pharmacogenomics Working Group: Developing frameworks for evaluating pharmacogenomic gene validity and actionability
Read it here: https://www.sciencedirect.com/science/article/pii/S294977442400222X
Generating a framework for curating mechanism of disease in monogenic conditions: A consensus effort of the Gene Curation Coalition*
Read it here: https://www.gimopen.org/article/S2949-7744(24)00622-8/fulltext
DBDS PhD student Yusuf Roohani’s work on universal cell embeddings was featured in a New York Times article: “A.I. is learning what it means to be alive.” This foundation model for cell biology is able to map any cell from any species or tissue into a unified latent space, eliminating the need for model tuning or label information. The article describes how such efforts are bringing scientists closer to the vision of a virtual cell.
Congratulations, Yusuf!
Hospitals struggle to validate AI-generated clinical summaries
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AI health care companies say they’ll keep humans in the loop. But what does that actually mean?
“‘Human in the loop’ is a stop-gap solution to make progress and punt questions around trust, liability, cross population performance, and a full accounting of the consequences of algorithm-guided work to a later date,” Stanford Health Care’s chief data scientist Nigam Shah told STAT. “It’s basically a get out of jail free card in my view.”
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