Talking HealthTech

In this episode we dive into the intersection of technology and clinical trials. Join our host, Nathan Moore, as he speaks with Damon Rasheed and Saurabh Jain from TrialKey.This episode explores the significant role predictive software plays in optimising the success rates of clinical trials in the pharmaceutical industry.Key TakeawaysClinical trials are the cornerstone of discovering new treatments, and their design is pivotal to the pharmaceutical industry's success. There is a dire need for effective trial design and the current low success rates.The transition from a tradition-bound trial design process to a data-driven, predictive model approach using machine learning and natural language processing (NLP) is a dramatic leap forward.Key technical insights are shared on how NLP and other AI tools are used to sift through vast amounts of data to recognise patterns and predict outcomes of trials, even before they begin.Real-world applications of predictive software in trial outcomes are in early stages,