Digital Human Twin for Assistive Robotics and Orthopedics Implants

 

Digital Human Twin for Assistive Robotics and Orthopedics Implants
Realization
Keywords
  • Assistive robotics
  • Machine Learning
  • Large Scale Simulations
  • Digital Twin
Our skills
Optimization and Learning Framework.
Funding
Innosuisse
Schedule
2024-2026
DHT

About the Project

The Digital Human Twin (DHT) operates as a digital representation mirroring an individual’s health or disease condition, covering a spectrum of multi-scale, temporal, and interdisciplinary elements to thoroughly delineate physiological and pathological conditions throughout various layers of human anatomy. Formed through the amalgamation of software models and data, DHTs imitate and forecast the behaviors exhibited by their physical counterparts, considering interactions with additional abnormalities. The versatility of this technology in healthcare is evident in its potential applications, including targeted prevention, personalized clinical pathways, and support for healthcare professionals within virtual environments. Instances of its utilization span across various areas, such as clinical trials, medical training, surgical planning, and diverse virtual environments. DHTs are recognized as essential for advancing personalized care, in accordance with Switzerland’s core healthcare priorities. Within the domain of musculoskeletal care, the emphasis lies in harnessing the potential of DHTs to simulate the human musculoskeletal system in conjunction with the mechanics of external devices. With the digital twin simulation of the human musculoskeletal system with coupled mechanics of external devices, our focus is two-fold: orthopedic implants and the burgeoning market for assistive robotics. We aim to redefine the landscape of assistive robotics device design, patient-specific treatment planning, and medical device (as orthopedics implant) validation for clinical trial efforts.