Accelerating Drug Discovery by Combining Quantum-Based Models w/ Machine Learning | NVIDIA GTC 2024

The first stages of drug discovery involve finding a molecule with a good affinity to a protein target of interest. It's a long and costly process with a low success rate, but it can be drastically accelerated by in silico molecular simulations, provided that these are accurate and fast enough.
This session presents key advances in this direction that leverage a unique combination of quantum-based approaches with machine learning in a massively multi-GPU context.
Speaker: Louis Lagardère, Research Engineer and Co-Founder, Sorbonne Université and Qubit-Pharmaceuticals

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Original GTC 2024 Session: Combining Quantum-Based Models With Machine Learning Accelerates Drug Discovery [S61502]


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