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?
This multi-disciplinary workshop brings together leading experts – data scientists, clinicians, ethicists, legal scholars and others – to explore these complex and growing cutting edge clinical, ethical and legal questions.
This event is part of the Frontiers in Data Science and AI initiative at the Data Science Institute, Columbia University, and is co-sponsored by the Columbia University Masters of Bioethics Program and the Northeast Big Data Innovation Hub.
Host & DSI Frontiers Awardee: Robert Klitzman
Host: Florence Hudson
About Registration:
- This is a hybrid event. Please select Virtual Registration if you do not plan to attend in-person and are seeking the Zoom link.
- Seating for in-person registration is limited. Attendance will be prioritized for faculty, senior researchers (PhD Students, Postdocs), and external guests (alumni, clinicians, and practitioners).
- All in-person registrations will be confirmed by the DSI Events team.
For more information, please visit: Digital Twins in Healthcare