In our latest Podcast episode, we delve into the practical applications of Python, coding, and machine learning in clinical research. Prof. Vincenzo Venerito from Bari University and Guillaume Gatineau, a data scientist and PhD candidate at Lausanne University Hospital, share their expertise fresh from a hands-on workshop at the Digital Rheumatology Days.

The discussion highlights the growing importance of these technologies in analyzing data and driving advancements in healthcare. Prof. Venerito also introduce the MeFISTo project, a pioneering machine learning approach to assess joint stiffness and mobility in patients with rheumatoid arthritis through image recognition technology.

Vincenzo Venerito is an assistant Professor at the “Università degli Studi di Bari” . He is an enthusiastic Rheumatologist, particularly keen to translational research, advanced data analysis and musculoskeletal ultrasound.

Guillaume Gatineau is a Ph.D. candidate at the Interdisciplinary Center of Bone Disease, Lausanne University Hospital, Switzerland. He is specializing in life sciences (Phd) in the field of bone health, working with clinical data from various modalities (qualitative / quantitative and imaging) to develop multi-factorial machine learning and deep learning models to improve the fragility fracture risk assessment.

 

Interview with Dr. Guillaume Gatineau & Prof. Vincenzo Venerito

by Marc Blanchard

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