Explore the fundamentals of study design in this 57-minute lecture by Nicki Tiffin from SANBI, South Africa. Part of the "Machine Learning for Health and Disease" program organized by the International Centre for Theoretical Sciences, this talk provides essential insights for researchers and clinicians interested in applying machine learning techniques to healthcare data. Learn about key concepts in designing effective studies that bridge the gap between computational modeling and clinical problems. Gain valuable knowledge to enhance your ability to analyze and interpret health-related data across multiple domains, including patient outcomes prediction, medical imaging analysis, and genomic variant studies.