UM Data Science Research Seminar with Precision Medicine

Schedule

LECTURE 1 (12:00 -12:30)

Speaker:  Henry Woodruff

Subject: "AI in medical imaging research and clinical workflow" 

Abstract
Artificial intelligence (AI) has become one of the most dynamic areas of innovation in medical imaging, with applications ranging from image reconstruction and lesion detection to outcome prediction and treatment monitoring. Despite impressive research progress and multiple regulatory approvals, clinical adoption of AI tools remains limited. This talk will explore the dual landscape of AI in medical imaging: the scientific advances that continue to push the boundaries of image analysis, and the practical realities of integrating these tools into everyday clinical workflows. Drawing on recent examples from research and implementation projects, I will highlight both the opportunities and the challenges that shape the trajectory of AI in healthcare. The aim is to provide a balanced perspective on where we stand today, what lessons have been learned, and how we can move towards meaningful and sustainable adoption of AI in clinical practice.

LECTURE 2  (12:30 - 13:00)

Speaker:  Anshu Ankolekar

Subject: "From virtual patients to real choices: innovations to strengthen clinical trials"

Abstract
Clinical trials are vital but often slow, costly, and challenging for both researchers and participants. This talk explores two emerging approaches to address these challenges. In silico trials use virtual patient populations to test interventions before they reach the clinic, while trial-specific patient decision aids help trial participants navigate choices with clarity and confidence. Together, these innovations lead the way to a future where clinical trials can be both more efficient and more patient-centered.