Make your hour count with Professor Russ B. Altman and Professor Sheri Johnson, esteemed members of the Academic Medicine Advisory Council (AMAC) 2025. Gain valuable insights on cutting-edge topics like Genomics, Precision Medicine, and Population Health. Don't miss this opportunity. Register here!
Speaker: Professor Sheri Johnson
University of Wisconsin Madison School of Medicine and Public Health
Tuesday, 15 April 2025 11:15am - 12:15pm (Lunch will be provided at 12.15pm) The Ngee Ann Kongsi Auditorium (Academia) & Zoom Webinar
Note: Please note that the session originally scheduled for 17 April 2025 at 12:30 PM has been rescheduled to 15 April 2025 at 11:15 AM. Registered participants will be informed seperately by email.
SYNOPSIS
Health is produced by many factors that lie outside of the control of individuals. The broader forces and systems that shape everyday life conditions are largely responsible for increases in life expectancy over the last century. Efforts to improve community conditions, through policy and practice are key. Improved housing, better working conditions and opportunities for education contribute significantly to how long and how well people live. The health outcomes of a population, and the differences in outcomes between people in that group, are produced by patterns of health determinants. Evidence for addressing social, economic and environmental determinants to improve health will be reviewed.
Speaker: Professor Russ B. Altman (Joining us online)
Kenneth Fong Professor of EngineeringProfessor, Bioengineering, Genetics, Medicine, & Biomedical Data Science, and, Computer Science Stanford University Wednesday, 16 April 2025 8:00am - 9:00am The Ngee Ann Kongsi Auditorium (Academia) & Zoom Webinar
Note: Please note that the session originally scheduled for 15 April 2025 at 11:15 AM has been rescheduled to 16 April 2025 at 8:00 AM. Registered participants will be informed seperately by email.
An opportunity for AI is recognising and predicting disease phenotypes in large health care databases. Prof Altman’s group has created PopDX for recognising phenotypes in large biobanks, such as the UK Biobank and the US All of Us. PopDX assigns a “liability” score from zero (lowest disease liability) to one (highest) for all diseases and for all patients. PopDX enables a patient dashboard with current and likely future diseases. In this talk, Prof Altman will show initial results with PopDx on two biobanks. A primary challenge his group addresses is recognising rare diseases for which there are limited examples and data.
