I’m excited to share our latest work on enhancing the power to detect response expression quantitative trait loci (reQTLs) at single-cell resolution across different perturbations conditions: biorxiv.org/cgi/content/sh… with Soumya Raychaudhuri সৌম্য রায়চৌধুরী Broad Institute and co-authors 👇

Announcing the Single Cell Congress Asia meeting, to be held in Singapore 11th-12th July! Featuring keynote talks from Joseph Powell, Hongkui Zeng, and Xuegong Zhang. Registration is free: global-engage.com/product/single…

How to pick a problem. Today in Cell. 1/53 cell.com/cell/fulltext/…

Michelle Curtis and I are thrilled to share our preprint "Reproducible single cell annotation of programs underlying T-cell subsets, activation states, and functions" from the Soumya Raychaudhuri সৌম্য রায়চৌধুরী lab Brigham and Women’s Research and Broad Institute! biorxiv.org/content/10.110… 1/12

Excited to share our HLA-pQTL study revealing widespread HLA trans effects on protein expression in UK Biobank- now out at Nature Communications with Xinli Hu, Josh Chiou, Soumya Raychaudhuri সৌম্য রায়চৌধুরী, Saori Sakaue, Joyce Kang, PhD, and many more Pfizer Inc.! nature.com/articles/s4146…

Hi friends! Genotype-Neighborhood Associations (GeNA) by Laurie Rumker et al is now published! Broad Institute Brigham and Women’s Research nature.com/articles/s4158…

1/ 🚀 Excited to kick off the new year with our latest study, now published in Nature Medicine! 🌟Presenting CRAFT-MD, a novel framework to rigorously evaluate LLMs for clinical conversational reasoning! Let's dive in! 🧵 #HNY2025

I got early access to ChatGPT Operator. It's OpenAI's new AI agent that autonomously takes action across the web on your behalf. The 9 most impressive use cases I’ve tried (videos sped up): 1. Ordering dinner ingredients based on a picture and a recipe

Medical licensing exams are convenient LLM benchmarks, but they don’t reflect real-world clinical tasks. With LLMs already in EHRs, we need benchmarks that match real-world needs. Let’s partner with hospitals piloting these tools to develop diverse, task-specific evaluations.

Top 5 advances in medicine this week (🧵) 1. A tool to image inflammation Inflammation happens in a range of diseases - autoimmunity, aging, cancer - but we lack a tool to visualise it This study used CD45, which is expressed by all - and only - immune cells, as a marker of

NIH has announced a cut in the "indirect rate" to 15% across the board, in a move that appears to be retroactive to even existing grants. This is a bloodbath for research institutions throughout the country. Brief explainer for those not in this world: buff.ly/3EtML7D

Excited to tell you about VIMA (Variational Inference-based Microniche Analysis), our deep learning + stats hybrid for case-control analysis of multi-sample spatial molecular datasets. 🧵👇biorxiv.org/content/10.110…. Soumya Raychaudhuri সৌম্য রায়চৌধুরী , Broad Institute , Brigham and Women’s Research

We trained a genomic language model on all observed evolution, which we are calling Evo 2. The model achieves an unprecedented breadth in capabilities, enabling prediction and design tasks from molecular to genome scale and across all three domains of life.

Excited to share a preprint from Howard Chang's lab, co-led w/ Jiaying Li! We combine single-cell multiomics, enhancer mapping, & functional testing of human RPE and choroid to nominate causal variants in macular degeneration. Surag Nair Anshul Kundaje (anshulkundaje@bluesky) biorxiv.org/content/10.110…

We’re excited to announce two nature publications from Project AMIE (Articulate Medical Intelligence Explorer), a research AI system optimized for diagnostic reasoning and conversations 💬 Paper 1: goo.gle/4lpQ8xg Paper 2: goo.gle/3G4DNPe