Healthcare: Moving from Research to Reality in Data-Centric Engineering

Explore the path from healthcare research to real-world applications in this 39-minute forum session from the Alan Turing Institute. Gain expert perspectives on using data-centricity to drive better healthcare outcomes and shift towards prevention for individuals and society. Learn about the challenges and opportunities in bridging gaps between industry and academia, coordinating efforts across sectors, and implementing data science tools in engineered systems. Hear insights from Dr. Lindsay Edwards, Dr. Caroline Uhler, Dr. Marcela P. Vizcaychipi, and Alan Payne as they discuss topics including data science in biomedical sciences, machine learning versus engineered systems, data-driven medicine, health sensing, data quality and integrity, and the US perspective on healthcare innovation. Participate in audience questions and engage in a thought-provoking discussion on the future of data-centric engineering in healthcare.

Introduction
Data Science and Biomedical Sciences
ML vs engineered systems
Datadriven medicine
Sensing Health
Data Quality and Integrity
US perspective
Audience questions
Discussion