Accelerating Drug Discovery with AI-based Digital Twin of Cells
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Description
Drug discovery endures a daunting 0.01% success rate from initial research to final approval, largely due to inefficiencies in early target identification. Our presentation unveils how AI-based digital twins of cells—generative models trained to mimic physical systems—can revolutionize this stage. By leveraging existing biological knowledge and learning unknown insights from data, these advanced models offer unparalleled accuracy. This approach aims to accelerate drug discovery by providing superior insights right from the start. Join us as we explore the fusion of AI and cellular biology to transform drug development.
