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Explore de novo molecule generation techniques with experts Emmanuel Bengio and Julien Roy in this recorded session from the 2024 Machine Learning for Drug Discovery Summer School.
Explore ML interatomic potentials for drug discovery with expert Gianni De Fabritiis. Gain insights into advanced techniques and applications in computational chemistry.
Explore advanced techniques for accelerating atomistic simulations, enhancing sampling methods, and optimizing dynamics in drug discovery research.
Explore the application of Large Language Models in drug discovery, focusing on innovative approaches and potential breakthroughs in pharmaceutical research.
Explorez l'intégration de l'IA et des données omiques multimodales pour la découverte de médicaments avec l'expert Sébastien Lemieux.
Explore synthesizability and molecular synthesis techniques with Connor Coley, gaining insights into advanced drug discovery methods and machine learning applications.
Explore coarse-grained biological systems in drug discovery with Jacopo Venturin, delving into advanced machine learning applications for pharmaceutical research.
Explore population dynamics modeling techniques for drug discovery, focusing on innovative approaches and their applications in pharmaceutical research.
Explore geometric machine learning techniques for innovative molecular design in drug discovery with expert Michael Bronstein.
Explore open-source initiatives and benchmarking efforts in machine learning for drug discovery with Karmen Condic-Jurkic from Valence Labs.
Explore generative models for molecular structures, focusing on applications in drug discovery and computational chemistry.
Explore causal discovery and representation learning in machine learning for drug discovery with Jason Hartford's insightful presentation.
Explore virtual screening techniques for drug discovery through hands-on lab exercises guided by industry experts.
Explore machine learning applications in structure-based drug discovery, focusing on innovative techniques and their impact on pharmaceutical research.
Explore Graph Neural Networks for molecular property prediction in drug discovery, covering GNN design, expressivity, attention, and multimodality.
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