The second annual Machine Learning in Drug Discovery Symposium will highlight significant advancements in the application of machine learning techniques to drug discovery. The event will continue to bring together researchers applying machine learning to target validation, hit identification and optimization, clinical trial design, biologics, or other areas of drug discovery. The 2022 event included presentations and posters on the use of machine learning approaches to better understand protein-ligand interactions, to determine drug mechanisms and for optimizing small molecule therapeutics. This year’s event may also include topics such as the application of machine learning to large molecule therapeutics discovery, drug formulations and ADME/tox prediction.
Graduate students who are selected to present posters at the symposium and are traveling to the symposium from outside the Boston area, may be eligible for travel assistance. If you meet these criteria, please send an email to mlinddsymposium@broadinstitute.org for information on applying.
For questions, contact mlinddsymposium@broadinstitute.org
Target audience: Academic researchers (students, trainees, and PIs), scientists working at non-profits, AI/ML developers, scientists from biotech and pharma
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