DBMI at Harvard Med

Wednesday, June 4, 2025—Biomedical Informatics Entrepreneurs Salon #BIES hosted by @zakkohane w/@HarvardTechXfer 🍕🍪🍺 4:30pm In-person food/drink/network at HMS 🗣️🧠💡5:00–6:00pm (Zoom option) Iya Khalil PhD, VP and Head of Data, AI & Genome Sciences @Merck Register:…

We just added a major new experiment to our o1 study, comparing o1 and attending physicians at key diagnostic touchpoints on REAL cases from the BIDMC ER Stellar work led by @tabuckley_ and @PeterBrodeurMD as part of a rapidly growing @HarvardDBMI and @BIDMChealth collab 🚀

Congratulations to the graduates of the 9 Harvard Medical School master’s degree programs! bit.ly/4kq0igD

The latest work from my lab, Phage Disco, a method @EllieRand3 developed for targeted discovery of bacteriophages based on the bacterial receptor, defense system, or other component they interact with, is now live in mSystems

📢 🧬 New paper drop: "Prompting Decision Transformers for Zero-Shot Reach-Avoid Policies" by stellar PhD student Kevin Li @MIT @HarvardDBMI @harvardmed arxiv.org/abs/2505.19337 Imagine an agent that can reach any goal while avoiding danger, without retraining, even when the…

At @meshincubator 2025, @harvardmed’s @zakkohane shared a striking case: GPT-4 recommended treatment to a patient when assessing from the perspective of a doctor—but denied treatment as an insurer. Same patient, same facts, different values. #Harvard harvardmagazine.com/2025/05/harvar…

Without its international students, Harvard is not Harvard. hrvd.me/IntStudents25t

"The AI Revolution in Medicine, Revisited" podcast looks into the reality of AI in healthcare. With coauthors @goldbergcarey @zakkohane, we dissect what we've learned so far in my conversations with doctors, techies, patients, researchers, and policy thinkers.

Thank you @CancerGrand for your support of the tissue specificity project over the last 5 years! It was a privilege to be collaborating with many wonderful colleagues on the question of tissue specificty of cancer driver mutations, as well summarized in this magazine.

Since the Undiagnosed Diseases Network’s inception in 2014, researchers have discovered nearly 100 new conditions and diagnosed 855 individuals with previously unknown diseases. bit.ly/4jFQSgi

The largest dataset of chest X-rays (> 100K patients) in the world is now available on @huggingface. Really liking this trend of OS medical models and datasets. Time to build 🔧!

That's a wrap on our graduate course in Biomedical AI! We have made materials publicly available for others to benefit from them and to support learning in this fast-moving field zitniklab.hms.harvard.edu/AIM2/ @HarvardDBMI @harvardmed @KempnerInst @broadinstitute

To find a comprehensive set of somatic variants accurately, an individual-specific genome assembly is needed. Glad to be collaborating with @ChengChhy and @lh3lh3 for this new version of hifiasm; Flora Qu in the lab did extensive benchmarking.

Delighted to see my MIT graduate student Yifan @yifnzhao give a terrific thesis defense. She developed an algorithm for identifying CNVs in single cells (coming out in Nat Comm) and applied it to brain development (under review at Nat).

Excited to share that Ajay's paper is now out @NatureGenet : Transcriptome-wide analysis of differential expression in perturbation atlases rdcu.be/eiyI3

Phylogenetic compression achieves performant and lossless compression of massive collections of microbial genomes, facilitating fast BLAST-like search and versatile alignment tasks. @KarelBrinda @Baym @inria @HarvardDBMI nature.com/articles/s4159…

In this issue find an overview of MiniPhy, a tool for Efficient and robust search of microbial genomes via phylogenetic compression started in the @baym lab @harvardmed by @KarelBrinda, with @ZaminIqbal and Leandro Lima. rdcu.be/eg4OA

Editorial by @AdamRodmanMD and colleagues: When It Comes to Benchmarks, Humans Are the Only Way nejm.ai/4hMrAM9 #AIinMedicine

📄 Preprint: biorxiv.org/content/10.110… 🚀 Open source code, weights, and data: github.com/mims-harvard/A…