Nicholas Tatonetti
@proftatonetti
equestrian-scientist; creative, but not artistic. Prof @CedarsSinai using data to make drugs better. @Stanford BMI PhD; @Columbia DBMI; he/they π³οΈβπ
ID: 17944633
http://tatonettilab.org 07-12-2008 18:05:20
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Proud to share our latest publication in npj Digital Medicine! π’ As you may have heard, our team is working to automate suturing skills assessment through AI models. π’ This NEW work builds on prior work showing that sub-skills within suturing are dependent on each other. Better
I'm excited about this new clinical trials dataset from Jimeng Sun: 479K clinical trial outcomes from diverse sources, enabled by LLMs and validate din a verity of ways. Wild and cool idea. arxiv.org/pdf/2406.10292 #AI #Healthcare #ClinicalTrials #DrugDiscovery
We are thrilled to welcome Matthew McDermott, PhD (Matthew McDermott), and Xuhai βOrsonβ Xu, PhD (Xuhai βOrsonβ Xu), to the DBMI faculty in 2025! Columbia University Columbia Medicine Columbia Vagelos College of Physicians & Surgeons dbmi.columbia.edu/matthew-mcdermβ¦
How constrained is each gene in the human genome? Our work on estimating gene constraint using loss-of-function mutations along with gene features (expression patterns across tissues, protein language model embeddings, etc...) is now officially out! π§΅/8 nature.com/articles/s4158β¦
"the tobacco, ultra-processed food, fossil fuel, and alcohol industries together account for some 19 million deaths worldwide every year" In The Lancet Diabetes & Endocrinology, authors discuss a new WHO report on the commercial determinants of non-communicable diseases: hubs.li/Q02GcFWR0
And we are there! check this out science.org/doi/10.1126/sc⦠Eric Topol Harvard T.H. Chan School of Public Health Harvard Data Science Initiative