Musculoskeletal System

Research on the musculoskeletal system focuses on understanding and modeling its complex mechanics, particularly human and animal locomotion and joint function. Current efforts involve developing sophisticated musculoskeletal models, often incorporating deep learning techniques like recurrent neural networks and physics-informed neural networks, to improve simulation accuracy and control algorithms for robotics and rehabilitation applications. These advancements leverage both real and synthetic data, addressing challenges like data scarcity and computational cost to enable more realistic simulations and potentially improve diagnostics and treatment strategies. The ultimate goal is to create more accurate and efficient models for understanding human movement, designing better prosthetics and robotics, and improving clinical diagnoses.