Events

Event Description

Digital Twins have advanced various fields in engineering for decades and are now entering clinical care, posing several critical challenges. A digital twin, built of data from a patient and the environment, aims to mimic the structure and behavior of the physical patient, is dynamically updated with new data, and seeks to make predictions about the patient and inform decisions.  But how should such digital entities be regulated, and how do and will they affect clinicians, clinical decisions, and patients?

Event Information

Free and open to the public; registration is required. Please visit the event webpage for additional information. Please email [email protected] with any questions. 

Hosted by the Data Science Institute at Columbia University.