Marc Labriffe

Title: Marc Labriffe: Applying Machine Learning to Renal Transplant Diagnostics.

Introduction

Marc Labriffe is an inventor associated with Limoges, France. His patent work addresses the clinical interpretation of alterations in transplanted kidneys, bringing machine-learning methods to a complex diagnostic task.

Latest Patents

Labriffe is associated with 1 patent: “Computer-implemented diagnostic method for determining the clinical interpretation of renal graft alterations.” The invention describes using a trained machine-learning model to interpret renal graft alterations. It also covers training a model to determine clinical categories from renal transplant lesions, clinical signs, and routine laboratory test results.

Career Highlights

The supplied information lists Inserm (Institut National de la Santé et de la Recherche Médicale) and KU Leuven (Katholieke Universiteit Leuven) among the organizations where Labriffe worked. His patent reflects research at the intersection of clinical medicine, data analysis, and computer-implemented diagnostics.

Collaborations

Labriffe’s listed coworkers include Pierre Marquet and Dany Anglicheau. Their names are associated with the collaborative research context surrounding his work on renal transplantation and diagnostic interpretation.

Conclusion

Marc Labriffe’s patent applies machine learning to the interpretation of renal transplant findings, illustrating how computational methods can support clinical assessment.