It serves perfectly well to see how a digital twin will help to generate novel medications (see Phesi, VeriSIM Life, Unlearn.AI, MDClone), testing on the virtual replica. Or how it helps to construct the perfect implant (a hip or a heart valve). See FEops.

But it’s not enough to really explain its biggest potential.

Enter the concept of a digital triplet in healthcare.

Hence, imagine you’re playing a video game where you create a character that looks just like you and does everything you do in real life. This character in the game is like a “digital twin” – it’s a virtual copy of something real. Now, let’s take this idea a step further to understand a “digital triplet.”

A digital triplet is like having not just one, but three connected versions of you. The first one is you in the real world. The second one is your digital twin in the video game, which copies what you do. But then there’s a third part – this is where it gets super cool. This third part is like a smart assistant that watches what your digital twin is doing, learns from it, and then gives you advice in the real world. It can help you make better decisions, like how to improve at a sport you play, study more effectively, or stay healthy.
So, a digital triplet in healthcare would be like having a virtual health assistant that’s always learning from your activities and health data. It helps doctors understand your health better and can even predict health problems before they happen. This way, you can get advice on how to stay healthy or get better if you’re sick.

Think of it like having a super-smart health buddy that’s always there to help you out, using information from a virtual world that’s connected to the real you. Cool, right?

A company like Twin Health, managing diabetes , comes already close to this.

With the entire field of generative AI booming, I’ll show in subsequent posts how such triplet could help you as of tomorrow.

Stay tuned for real life examples in 2024 here or in my new book (on going for Epic).