Verisense

Discover a groundbreaking webinar delving into how personalizing digital biomarkers and health protocols is crucial for harnessing the full potential of digital health technologies. Much of the discussion of personalized healthcare has involved using genomic information to adapt treatment. By providing a wealth of information about the individual patient, digital health technologies (DHTs) provide a similar opportunity. In fact, we believe that personalizing digital biomarkers and digital health protocols will be necessary to enable the effective use of digital health technologies. Recent work in the field has indicated huge benefits, including reducing the required sample size in a clinical trial by an order of magnitude and identifying the onset of illness before the patient is even aware of it. However, this approach will require a paradigm shift in how data are analyzed, how clinical endpoints are formulated, and how clinicians manage patients. New approaches will involve techniques from artificial intelligence (AI), machine learning, and statistical process control. Although the featured speakers will touch upon science and analytics, their focus will be on the practical implications of this paradigm shift for managers and executives — both in clinical research and in healthcare delivery. They will provide practical advice and lessons learned for managing these changes.