Beyond algorithms: Building stronger AI foundations for drug discovery

Modern drug discovery produces more data than ever, from genomics and chemical screening to imaging and patient datasets. The challenge is no longer access, but interpretation. Artificial intelligence (AI) is reshaping that challenge, helping researchers navigate chemical and biological complexity, and accelerate decision-making — revealing hidden patterns, predicting molecular behavior, and advancing new drug modalities

Yet alongside this progress come new challenges. The use of AI prompts today questions about trust, transparency, and the balance between human and algorithmic intuition.