Simone Castagno

Simone Castagno is a Researcher at the Department of Applied Mathematics and Theoretical Physics (DAMTP), School of Physical Sciences, University of Cambridge. Their work bridges machine learning and medical applications, particularly in orthopedics and rheumatology.

Research Interests: Simone focuses on interpretable machine learning for clinical prediction tools, with applications in soft tissue knee injury screening, osteoarthritis progression forecasting, and trauma surgery outcomes. Their research integrates biomedical engineering, clinical data analysis, and AI ethics in healthcare.

Publication Trends: Recent articles highlight collaborations between DAMTP and medical institutions. Key themes include AI-driven predictive modeling for joint pathologies, systematic reviews of ML in osteoarthritis, and interdisciplinary studies combining computational methods with orthopedic/rheumatological clinical research.

Labs & Teams: Affiliated with the Machine Learning and Artificial Intelligence Research Group at DAMTP, which specializes in data-driven solutions for biomedical challenges.