The Small Molecule Steering Committee at Polaris - Benchmarks for methods that matter introduces guidelines for fair and rigorous ML method comparisons in drug discovery. Join the live discussion on Dec 5th, 11-12 PM ET, with Jonathan Hsu and Jeremy A. to explore the paper and its implications. Details below.
How should we compare machine learning methods in drug discovery? In the first working paper from the Small Molecule Steering Committee at Polaris, we introduced guidelines for method comparison to help ensure fair, replicable, and rigorous evaluations in ML-driven drug discovery. Now, we’re taking the conversation LIVE! ???When: Dec 5th from 11 - 12 PM ET ???Where: https://lnkd.in/gs2SVrPC Join host Jonathan Hsu from Valence Labs / Recursion and first author Jeremy Ash from Johnson & Johnson Innovative Medicine for an interactive session where we’ll: ? Explore the key points from the paper ? Discuss its implications for the field ? Open the floor to your questions and ideas Let’s work together to redefine how method comparison is done!
