Next Generation Data Science in Precision Medicine: A Roadmap to Create Insight and Avoid Data Deluge

Artificial Intelligence, deep learning, machine learning are the buzzword that dominate the discussions and news regarding innovations in healthcare and biomedical R&D. However, applying these powerful tools not only requires massive data sets, which too often are not available, but also come with addition challenges ranging from data quality to valudating the so called “black box” results. This session will discuss emerging trends, use cases, new tools like topological data sciences as well as High Dimenensional Small Sample Size Analytics.