Mantis Biotech Is Making ‘Digital Twins’ Of Humans To Help Solve Medicine’s Data Availability Problem

Mantis Biotech's AI platform builds physics-based human models to transform healthcare and sports.
Matilda
Mantis Biotech Is Making ‘Digital Twins’ Of Humans To Help Solve Medicine’s Data Availability Problem
What Are Digital Twins of Humans — and Why Does Medicine Need Them Now? Digital twins of humans are physics-based, AI-powered virtual models that replicate how a real person's body moves, responds, and behaves. They are built from real-world data — biometric readings, medical imaging, motion capture, and more. And right now, a New York-based startup called Mantis Biotech is using them to tackle one of medicine's most stubborn problems: the lack of reliable data for rare diseases, edge cases, and complex human conditions. The solution they have built is unlike anything the biomedical world has seen before. The promise of artificial intelligence in healthcare is enormous. Large language models could speed up genomics research, streamline clinical documentation, improve real-time diagnostics, and accelerate drug discovery. But time and again, these models hit the same wall — there simply is not enough high-quality, representative data to make them work in the cases that matter most…