Why Healthcare Is AI's Hardest and Most Important Problem with Kyunghyun Cho (NYU)

Kyunghyun Cho, professor of health statistics and of computer science and data science at New York University, discusses why healthcare may be both the most important and the hardest domain for AI. He proposes patient-owned medical records and continuous society-level trials in which clinicians randomise between plausible diagnoses, and argues that the stage-wise drug-discovery pipeline needs end-to-end thinking. The conversation also covers GLP-1 drugs, the economics of antibiotic research and language models trained across scientific literature and clinical data.