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A really neat read while I wait bedside Stanford Children's for my daughter to receive a heart ♥️ transplant. Seeing the active research in the field is a great source of hope.

Submitted all the grades today—- semester over!!

Very excited!!

I just realized the neurips deadline is AOE time and not 4 pm mountain or whatever! Need ice cream!

Transforming ordinary wood into an extraordinary innovation! Proud to highlight Yale Engineering's Prof. Liangbing Hu, whose groundbreaking "Super Wood" technology is now approaching commercial production through his company, InventWood. Learn more: loom.ly/v-L_mw0

1/ Introducing TxPert: a new model that predicts transcriptional responses across diverse biological contexts It’s designed to generalize across unseen single-gene perturbations, novel combinations of gene perturbations, and even new cell types 🧵

Mark your calendars 🗓️ for June 23 for a Yale Kavli Institute for Neuroscience Awards Research in Progress!🧠 Hear from awardees Dhananjay Bhaskar, LaShae K. Nicholson, PhD, José Jaime Martínez-Magaña, Kevin Sean Chen, Aaron Kuan, Joerg Bewersdorf, EnockTeefeMD, & Hongyan Hao as they share exciting updates on their projects.

So excited to share our new paper, FORT! 🎉 We're showing a simple regression approach to train discrete normalizing flows (think CNFs!), which beats conventional maximum likelihood training in performance. Check it out! 👇

Glad to be (briefly) Mila - Institut québécois d'IA again for MOML portal.ml4dd.com. Thanks for organizing Dominique Beaini and colleagues!

Preprint drop from our team at Arc Institute! Introducing STATE: a model that learns and predicts transcriptomic responses to chemical or genetic perturbations. This is the first model to beat simple linear baselines and our first step toward building a virtual cell model.

AI in the air at AI X BIO, presented on our Immunostruct and Cellspicenet models as well as EMBL-EBI on cellular dynamics. Thanks for hosting Evangelia Petsalaki ! Nice also to see AI X BIO organizers Mo Lotfollahi Debora Marks Maria Brbic !

Now online in Cancer Discovery: AAnet Resolves a Continuum of Spatially-Localized Cell States to Unveil Intratumoral Heterogeneity - by Aarthi Venkat, Scott Youlten, Beatriz Pérez San Juan, Krishnaswamy Lab, Christine Chaffer, and colleagues doi.org/10.1158/2159-8… Yale University Yale School of Medicine Garvan Institute of Medical Research

A multinational team co-led by Krishnaswamy Lab has developed and tested a new #AI tool that can better characterize individual #tumor cells, paving the way for targeted #cancer treatments: bit.ly/3I4WoeS

Defining and benchmarking open problems in single-cell analysis bit.ly/4l8dsiF