Assessing Drug Development Risk Using Big Data and Machine Learning

This course aims to teach learners how to assess drug development risk using big data and machine learning. The goal is to provide a more accurate and unbiased estimate of the probability that a drug will receive regulatory approval. The course covers the utilization of machine learning in combination with available data to characterize drug development risk. The teaching method involves a presentation by an industry expert with over 15 years of experience in healthcare, technology, and data science. The intended audience for this course includes professionals in the biopharmaceutical industry, particularly those involved in drug development, clinical trials, and risk assessment.