Soft Tissue

Soft tissue research focuses on understanding and modeling the complex mechanical properties of biological tissues, primarily to improve medical procedures and diagnostics. Current research emphasizes developing advanced imaging techniques (e.g., using photon-counting detectors and bone suppression algorithms) and robotic systems for precise tissue manipulation and analysis, often employing machine learning models like deep neural networks (e.g., GANs, diffusion models) and Kalman filters for real-time control and tracking. These advancements are crucial for improving surgical interventions, enabling minimally invasive procedures, and facilitating more accurate diagnoses of conditions like cancer. The development of robust datasets and standardized benchmarks is also a key focus to ensure the reliability and generalizability of these methods.