TRAIL4HEALTH Research Seminar:
Human-AI Ecosystems: Sense, Empower, Augment Daily Health & Well-being
Dr. Xuhai Xu (Orson)
Assistant Professor, Columbia University Department of Biomedical Informatics and Computer Science
Visiting Faculty at Google
As the intelligence of everyday smart devices continues to evolve, they have moved beyond simple tracking of behaviors to glimpses of our broader health and well-being. The possibility of a truly intelligent system for continuous health monitoring and intervention is no longer science fiction. How to make this vision a reality?
In this talk, I will outline an ecosystem that unites AI, end-users, and health experts. I will share our work in building rich passive sensing datasets, human-centered algorithms, and benchmark platforms that push the field toward more robust, trustworthy, and deployable health prediction pipelines. With the rise of large language models (LLMs), I will further show how technologies can move beyond passive monitoring to actively promoting individuals’ daily well-being and supporting clinicians in making more informed medical decisions. By cultivating an organic human-AI ecosystem, we are approaching a future where AI systems can sense, empower, and augment our health and well-being in everyday life.
The TRAIL4HEALTH Research Seminar event is hosted by the Translational AI Laboratory (TRAIL for Health), a Columbia University Mailman School of Public Health center dedicated to advancing public health through innovative applications of artificial intelligence and data science. Our mission is to bridge the gap between cutting-edge AI research and real-world health challenges. This series is open to all active Columbia Affiliates.
