How can artificial intelligence (AI) help us prevent chronic diseases and promote long-term health - both for individuals and the planet? This seminar explores the transformative role of AI in understanding, predicting, and mitigating health risks at the intersection of human and environmental well-being. Students will investigate how AI-powered tools analyze complex health data, detect early warning signs of chronic conditions, and support lifestyle and policy interventions. We will also examine the broader implications of AI in planetary health, including its role in tracking climate-driven health risks, air pollution exposure, and food system sustainability. Through case studies, discussions, and hands-on activities, students will critically assess the promises and challenges of AI-driven approaches to disease prevention. This course is ideal for students interested in public health, data science, environmental science, and ethical AI. No prior experience in AI or programming is required.
3 units · Letter or Credit/No Credit
How can artificial intelligence (AI) help us prevent chronic diseases and promote long-term health - both for individuals and the planet? This seminar explores the transformative role of AI in understanding, predicting, and mitigating health risks at the intersection of human and environmental well-being. Students will investigate how AI-powered tools analyze complex health data, detect early warning signs of chronic conditions, and support lifestyle and policy interventions. We will also examine the broader implications of AI in planetary health, including its role in tracking climate-driven health risks, air pollution exposure, and food system sustainability. Through case studies, discussions, and hands-on activities, students will critically assess the promises and challenges of AI-driven approaches to disease prevention. This course is ideal for students interested in public health, data science, environmental science, and ethical AI. No prior experience in AI or programming is required.
Offered in Winter 2027 at Stanford University.