DBMI at Harvard Med (@harvarddbmi) 's Twitter Profile
DBMI at Harvard Med

@harvarddbmi

Department of Biomedical Informatics at @Harvard/@harvardmed: #datascience- & #AI/#ML-powered models of clinical care to advance human health. Chair @zakkohane.

ID: 2578833583

linkhttps://dbmi.hms.harvard.edu/ calendar_today20-06-2014 15:03:41

2,2K Tweet

7,7K Followers

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DBMI at Harvard Med (@harvarddbmi) 's Twitter Profile Photo

In this issue find an overview of MiniPhy, a tool for Efficient and robust search of microbial genomes via phylogenetic compression started in the Michael Baym lab Harvard Medical School by Karel Břinda, with Zamin Iqbal and Leandro Lima. rdcu.be/eg4OA

Nature Methods (@naturemethods) 's Twitter Profile Photo

Phylogenetic compression achieves performant and lossless compression of massive collections of microbial genomes, facilitating fast BLAST-like search and versatile alignment tasks. Karel Břinda @Baym @inria DBMI at Harvard Med nature.com/articles/s4159…

Peter J Park (@peter_j_park) 's Twitter Profile Photo

Delighted to see my MIT graduate student Yifan Yifan Zhao 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).

Peter J Park (@peter_j_park) 's Twitter Profile Photo

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

Luke O'Connor (@luke0connor) 's Twitter Profile Photo

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

Harvard Medical School (@harvardmed) 's Twitter Profile Photo

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

Marinka Zitnik (@marinkazitnik) 's Twitter Profile Photo

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/ DBMI at Harvard Med Harvard Medical School Kempner Institute at Harvard University Broad Institute

Cyril Zakka, MD (@cyrilzakka) 's Twitter Profile Photo

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

Peter J Park (@peter_j_park) 's Twitter Profile Photo

Thank you Cancer Grand Challenges 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.

Peter Lee (@peteratmsr) 's Twitter Profile Photo

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

Arjun (Raj) Manrai (@arjunmanrai) 's Twitter Profile Photo

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 Thomas Buckley and Peter Brodeur as part of a rapidly growing DBMI at Harvard Med and BIDMC collab 🚀

Harvard Magazine (@harvardmagazine) 's Twitter Profile Photo

At MESH Incubator™ at Mass General Brigham 2025, Harvard Medical School’s Isaac Kohane 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…

Marinka Zitnik (@marinkazitnik) 's Twitter Profile Photo

📢 🧬 New paper drop: "Prompting Decision Transformers for Zero-Shot Reach-Avoid Policies" by stellar PhD student Kevin Li Massachusetts Institute of Technology (MIT) DBMI at Harvard Med Harvard Medical School arxiv.org/abs/2505.19337 Imagine an agent that can reach any goal while avoiding danger, without retraining, even when the

📢 🧬 New paper drop: "Prompting Decision Transformers for Zero-Shot Reach-Avoid Policies" by stellar PhD student Kevin Li <a href="/MIT/">Massachusetts Institute of Technology (MIT)</a> <a href="/HarvardDBMI/">DBMI at Harvard Med</a> <a href="/harvardmed/">Harvard Medical School</a>
arxiv.org/abs/2505.19337

Imagine an agent that can reach any goal while avoiding danger, without retraining, even when the
Michael Baym (@baym) 's Twitter Profile Photo

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

The latest work from my lab, Phage Disco, a method <a href="/EllieRand3/">Ellie Rand</a> developed for targeted discovery of bacteriophages based on the bacterial receptor, defense system, or other component they interact with, is now live in mSystems
DBMI at Harvard Med (@harvarddbmi) 's Twitter Profile Photo

Wednesday, June 4, 2025—Biomedical Informatics Entrepreneurs Salon #BIES hosted by Isaac Kohane w/Harvard OTD 🍕🍪🍺 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:

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