This thesis explores the advanced biomechanical analysis of native, injured, and reconstructed joints to optimise surgical procedures, specifically focusing on the development of innovative tools and methods in biomechanics.

My research spans three key axes: computational modelling, mechanical testing, and in vivo testing. Initially, my work centred on musculoskeletal modelling to estimate biomechanical parameters, offering insights into joint mechanics under various conditions. This approach allows for exploring “what-if” scenarios through virtual simulations, providing critical data on forces and movements within the human body. In vitro mechanical testing then plays a crucial role in evaluating joint function and the safety and efficacy of medical devices under controlled laboratory conditions. Through these tests, new surgical techniques and orthopaedic implants are assessed, particularly in the context of joint reconstruction and replacement surgeries, where precision and stability are paramount. My research also includes in vivo testing, incorporating clinical experimentation that bridges the gap between laboratory findings and real-world applications. For that, advanced tools and protocols are developed for pre- and post-operative assessment, especially in shoulder surgeries such as reversed total shoulder arthroplasty.

Overall, this work includes developing optimised computational models, robotic testing platforms, and in vivo protocols that significantly enhance the planning and execution of surgical procedures. Ultimately, this work aims to improve surgical outcomes by combining state-of-the-art biomechanics with practical clinical applications, focusing on optimising joint function, reducing patient recovery time, and enhancing the longevity of surgical implants.