This inventor holds 1 USPTO granted patent and 6 published patent applications. Top assignees: Centre Hospitalier Et Universitaire De Limoges, Inserm (Institut National De La Santé Et De La Recherche Médicale), Katholieke Universiteit Leuven. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
1 out of 1 
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1 out of 631 
Years Active: 2026
Title: Dany Anglicheau and Machine-Learning Diagnostics for Renal Transplants
Introduction
Dany Anglicheau is an inventor based in Paris, France, whose work includes applying machine learning to the clinical interpretation of kidney transplant findings. His patent record includes 1 patent.
Latest Patents
Anglicheau’s patent, “Computer-Implemented Diagnostic Method for Determining the Clinical Interpretation of Renal Graft Alterations,” describes a computer-implemented diagnostic approach that uses a trained machine-learning model to interpret alterations in renal grafts. The invention also covers training a model to determine clinical categories using information about renal transplant lesions, clinical signs, and routine laboratory test results.
Career Highlights
Anglicheau has been associated with Inserm (the French National Institute of Health and Medical Research) and Katholieke Universiteit Leuven. His work connects clinical transplant information with computational methods for diagnostic interpretation.
Collaborations
His listed coworkers include Pierre Marquet and Marc Labriffe.
Conclusion
Dany Anglicheau’s patent highlights the use of machine learning to support clinical interpretation of renal transplant findings by combining lesion data, clinical signs, and routine laboratory results.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile