Digital Twinning - Transforming Healthcare, Episode 2, Part 1

A digital twin is a virtual representation that serves as the real-time digital counterpart of a physical object or process.

The first practical definition of a digital twin originated from NASA in an attempt to improve physical model simulation of a spacecraft in 2010.

Digital twinning involves multiple processes: visual modeling using software to replicate an object's appearance, and feeding the system with data about that object.

Digital twin technology uses machine learning and AI.

A digital twin can be trained to behave like a real-world counterpart, with the ability to remove errors and control behavior.

Digital twins are upgradable and extendable in ways that overcome physical limitations of the real world.

Companies can test and validate a product using digital twins before it exists in the real world.

If a patient model is provided with data and trained with parameters that exactly match the real world, it will give similar results.

There will be a transition towards cheaper, more accessible, and easier to use digital twins, culminating in its democratization.