Page 21 - Byte 2022

After a digital replica is created, real-world data is added

to the digital twin. The two are continuously

synchronized, ensuring the twin always has the most

current information. Computer vision, AI, and machine

learning process the information, allowing users to model

possible scenarios and outcomes on the twin’s real-world

counterpart. Though use of digital twins in healthcare is

still in a relatively nascent stage, there have been some

remarkable breakthroughs. Scientists are using 3D digital

twins to mimic the cells in patients’ hearts to determine if

surgery is warranted, too risky, or necessary,

significantly decreasing the time to operation.

Digital twins are being used by healthcare and life

sciences organizations around the world to

fulfill the promise of personalized

medicine. This includes allowing

physicians to leverage digital

care-backed clinical decision

support solutions and

potentially thousands

of variables to

intelligently model the

best course of treatment

at the point of care.

14