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From Patients To Experts, How AI Can Improve The Journey To Better Healthcare
AI Drug Discovery: Curing with Code
As AI systems grow more capable in modeling complex biological systems, drug discovery is entering a new era — one where machine learning models don't just assist researchers, but actively generate hypotheses, design molecules, and predict therapeutic outcomes. This session explores the shift from traditional trial-and-error approaches to AI-driven methodologies that can integrate biological data at unprecedented scale and speed. What does it mean to have AI as a true collaborator in science? Can these systems unlock treatments for diseases that have eluded medicine for decades? As AI takes on a greater role in healthcare decision-making, how do we ensure that its use remains transparent, equitable, and ethically sound?
Overcoming The Limitations Of Generative AI To Create Value (In French)
Most companies are already adopting artificial intelligence at various scales. But few are succeeding in extracting value from it, using AI to transform their organization or business model. Here's an overview of winning strategies.