Getting started with the summer school hackathon with Cas showing everyone how to download datasets and access benchmarks Polaris 👀

Today marks the end of an amazing week at the first edition of the ML for Drug Discovery summer school! To put this learning into practice, we ended with a epic hackathon on Polaris 🧬 Follow Polaris to see which team won the hackathon!

Stay tuned for exciting updates! 🔬🧬🤖

I had such a great time last week in MTL at the ML4DD summer school and #MoML! Not every day do you get to share the stage with such an awesome line-up 🤩 portal.ml4dd.com/summerschool Thank you Valence Labs! Was great to meet you all in person! 🚀

I’m really excited to share our new pre-print “Functional protein mining with conformal guarantees”, with Seyone Chithrananda Anastasios Nikolas Angelopoulos Peter Hyungjun Yoon Michael Jordan @doudna_lab biorxiv.org/content/10.110… 🧵

Thanks to our collaboration with NVIDIA, we’re now equipped with the computational power to accelerate the groundbreaking research happening at Valence Labs and @recursionpharma! Stay tuned for our upcoming bio:chem foundational models 👀

Heading to ICML next week? Don’t miss the Polaris launch party on July 25th! Discover a new platform dedicated to advancing impactful drug discovery ML methods

If you are at ICML Conference and into drug discovery, it might be very much worth it to check out the Polaris evening event, I suspect :) I will certainly be there as well - would be nice to chat there. Here is their sign-up link: lu.ma/wj1agv8o

THE program for scientists seeking to go from research paper to a company! Applications are open, so don’t miss your chance! 🔬

Thrilled to launch Polaris! 🎉 Our mission: accelerate ML for drug discovery with top-notch benchmarks With support from an amazing steering committee of industry & academics leaders, we’re excited to elevate our collective research community Excited for your feedback! 😊

For those who couldn’t make it this year, here's a great recap on Bio x ML at #ICML2024

The ML for Drug Discovery community has grown like crazy in the last few years! Big shoutout to Mila - Institut québécois d'IA and the Valence Labs team for organizing MoML-Mila and see you all in a few months at MoML-MIT! Register here: moml.mit.edu

Check out Auroris, the Python library that empowers researchers to manage, clean, and prep data! 🧬

We often underestimate the importance of efficient data loaders & robust benchmarking infrastructure in driving ML innovation Polaris provides access to a growing number of datasets & benchmarks with just a few lines of code! We're early and eager for community feedback 👋🏾

Let Polaris cook!

Designing better cancer therapeutics using AI - Round 2! 🧬 In Round 1 of our competition, 90 designers submitted 700+ protein designs with the goal of developing a new therapeutic by blocking a cancer-associated receptor called EGFR. 🔎 We then validated 200 proteins in our

News! Modal is supporting @RAAIS fellowships with $10,000 credits on their platform, alongside the $5,000 GPU credits from Lambda. Working on AI-first, open source research outside big institutions? Apply at airstreet(dot)com/fellowships

Have you been waiting for a chance to show off how well your model performs on a fresh, blind, and consistent test set? Now’s your moment! 🎉 Super excited to share that we’re launching our very first competition at Polaris ! Join us and let’s have some fun! 🚀

1/ At Valence Labs, Recursion's AI research engine, we’re focused on advancing drug discovery outcomes through cutting-edge computational methods Today, we're excited to share our vision for building virtual cells, guided by the predict-explain-discover framework 🧵

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 🧵