Why can’t we agree on how to define digital twins in healthcare?
A new buzzword has emerged across the health tech space in the last decade: digital twins. Originating from the field of product engineering, a digital twin is a virtual model designed to accurately reflect a specific physical object. Typically, this takes the form of a computer model informed by real-time data collected from sensors that can simulate the behavior of the object under alternative conditions. Within healthcare, however, the term “digital twin” is being used in a variety of ways — from AI-based simulations of disease progression, to mechanistic models of organ or cellular function, and even as a synonym for a patient’s electronic health record.
This panel brings together industry leaders from the digital twin frontier to cut through the complexity and get at the essence of what digital twins are and how they can be applied within healthcare.
What will be covered in this webinar:
- Reviewing how the term “digital twins” is employed across the healthcare industry
- Discussing the possibility of arriving at a single definition for “digital twins”
- Discussing the diversity of applications of digital twin technology
Who should attend this webinar:
- Academia, biotech, and pharma
- Biostatisticians
- Chief Medical Officers/Medical Directors
- Chief Innovation Officers/Head of Innovation
- Data Science
- Clinical Operations
- Regulatory Affairs
