Realizing the promise of AI-enabled drug discovery - preparing the next steps

Course overview

Artificial intelligence is reshaping the drug discovery landscape, offering new opportunities to accelerate target identification, optimize compound screening, and improve decision-making across drug discovery pipelines. But realizing that potential demands more than powerful algorithms alone. It requires optimized workflows, high-quality biological data, and robust experimental validation. Central to this is the lab-in-the-loop approach - a continuous feedback loop where AI predictions are tested in the lab, and the results are fed back to refine the models - grounding computational predictions in biological reality. Join leading academic and industry experts for a virtual roundtable exploring the opportunities, challenges, and practical considerations of AI-enabled drug discovery.