Insight and Inequity by Gagandeep Kang

Explore a thought-provoking lecture on health disparities and scientific insights delivered by Gagandeep Kang as part of the "Machine Learning for Health and Disease" program. Delve into the complex interplay between scientific advancements and societal inequities in healthcare. Gain valuable perspectives on how machine learning and data analysis can be leveraged to address health-related challenges across various domains. Discover the potential of modern computational techniques in understanding and improving patient outcomes, analyzing medical imaging, and uncovering patterns in large-scale health data. Learn about the program's goals to bridge the gap between mathematical modeling and clinical problems, introducing machine learning tools to healthcare practitioners and fostering collaboration between clinicians and data scientists. Understand the importance of building inclusive public health databases and generating resources to help medical professionals apply machine learning in their work.