Open-Source Initiatives and Benchmarking Efforts in Machine Learning for Drug Discovery - Day 5

Explore open-source initiatives and benchmarking efforts in machine learning for drug discovery in this recorded lecture from the 2024 Machine Learning for Drug Discovery Summer School hosted at Mila. Delve into the importance of collaborative approaches and standardized evaluation methods in advancing the field of AI-driven drug discovery. Learn from speaker Karmen Condic-Jurkic as she shares insights on current open-source projects, community-driven initiatives, and the role of benchmarking in assessing and improving machine learning models for pharmaceutical research. Gain a deeper understanding of how these efforts contribute to accelerating drug development processes and fostering innovation in the industry. Connect with the speaker and other participants through the provided Portal link to further engage with the topic and expand your professional network in the field of AI and drug discovery.

Day 5 - Open-Source Initiatives & Benchmarking Efforts | Karmen Condic-Jurkic