Challenges in Drug Development and Disease Prediction

This chapter explores the challenges faced in bringing drugs to market and the importance of understanding disease development to improve drug development success rates. The discussion covers risk modeling for identifying individuals at risk of cardiovascular events, the complexities of current biomarkers for cardiovascular disease prediction, and the need for a data-driven approach to disease prevention. It also addresses the utilization of human data in drug development, the transition between phase two and phase three trials, and the significance of comprehensive population-scale datasets like the UK Biobank in forming hypotheses and understanding disease risks.