Thanks for all the interest and requests, open access link for our Cell Cell article introducing TriPath a method for weakly supervised AI on 3D pathology samples is available here: authors.elsevier.com/a/1j3RiL7PXqQM-
Also see,
Code: github.com/mahmoodlab/Tri…
Explainer video:…

With #AI , it's time for pathology to go #3D
sciencedirect.com/science/articl… Cell Faisal Mahmood Andrew H. Song Jonathan Liu

⚡️📣👇Tremendously excited to share our new Cell article, where we develop TriPath, a method for analyzing 3D pathology samples using weakly supervised AI. Article: authors.elsevier.com/a/1j3RiL7PXqQM-. TriPath enables 3D computational pathology via 3D multiple instance learning…

This article co-authored by HDSI Faculty Affiliate Faisal Mahmood examines disparities in pathology #AI models, assesses how modeling choices impact disparities, + evaluates the potential of self-supervised foundation models in mitigating these disparities: nature.com/articles/s4159…

We are celebrating the lab's fifth anniversary this week but more importantly we are celebrating the careers of over 50 trainees, graduate students, postdocs who worked in the lab during this time and contributed to each others success.

In a series of clinically relevant tasks in computational pathology, models display marked performance disparities across ethnic groups, which self-supervision on large training datasets and existing debiasing techniques can only partially mitigate
nature.com/articles/s4159…

Its been a month since we released UNI and CONCH, a vision only and a vision-language foundation model for computational pathology w/ Nature Medicine articles. The models have been downloaded over 233k times on @HuggingFace we are analyzing the early impact, see where people are…

True pleasure having Richard Levenson from UC Davis visit us again.

Just published
Our review article of all the medical #AI randomized controlled trials The Lancet Digital Health
thelancet.com/journals/landi… Ryan Han Julián Nicolás Acosta Pranav Rajpurkar

Based on numerous requests we are providing the open access ShareIT link for our Nature Medicine article on identifying and mitigating disparities in pathology AI models.

Open read link: rdcu.be/dFdMS
Journal link: nature.com/articles/s4159…

A few days ago I got a chance to finally meet in-person and have lunch with Faisal Mahmood.

He's a leading expert in medical AI, and his lab at Harvard has published several seminal works on AI in pathology.

He was also on my PhD dissertation committee and a wonderful mentor!…

In a series of clinically relevant tasks in #ComputationalPathology , AI-driven models display performance #disparities across ethnic groups, which self-supervision on large training datasets and existing debiasing techniques can only partially mitigate. nature.com/articles/s4159…

Are you interested in working at the interface of machine learning and pathology? Consider joining Drew FK Williamson's lab at Emory.

New studies suggest that using unlabelled data in medical #AI can improve accuracy and generalization to new settings and minority patient groups, thereby increasing fairness. News and Views from Emma Pierson & colleagues
Emma Pierson Cornell Tech
nature.com/articles/s4159…