Science has long been interested in creating digital twins, with NASA’s “living virtual models” marking the first step in this direction. Now, Twin Health, founded by Jahangir Mohammed, has taken it to a whole new level by creating a digital twin of the human body. The purpose is to design personalized avatars to test the effectiveness of certain treatments on patients, particularly those suffering from type 2 diabetes.
With diabetes affecting one in ten adults, the majority being type 2, the collaboration between science and technology aims to bring new advances to improve the quality of life for these individuals. Twin Health‘s innovative approach allows for the creation of virtual patients using AI technology to tailor treatments specifically to each person’s unique metabolism.
Drawing inspiration from Tesla’s digital twin software for predicting car failures, Twin Health‘s medical director highlights the unprecedented precision in monitoring, predicting, and controlling diabetes that their tool offers. Through data collected from various sensors and patient input, the virtual models generated by Twin Health provide real-time data for predicting blood sugar levels and designing effective treatment strategies.
The success of Twin Health‘s digital twin technology was evident in a clinical trial involving 232 individuals with diabetes. Patients using the virtual twin saw significant improvements in their blood sugar levels, with some even experiencing remission from type 2 diabetes. While the long-term benefits are yet to be fully realized, the initial results are promising, with 73% of patients in the trial achieving remission.
As virtual twins continue to revolutionize the treatment of diabetes, the future looks bright for individuals seeking personalized and effective healthcare solutions. This innovative approach has the potential to transform the way we manage chronic conditions and improve overall patient outcomes.