This inventor holds 1 USPTO granted patent and 5 EPO patents. Top assignees: Centre Hospitalier Universitaire D'angers, Université D'angers. Active years: 2023.
Company Filing History:

Years Active: 2023
Title: Paul Calès: Innovator in Non-Invasive Liver Diagnostics
Introduction
Paul Calès is a notable inventor based in Avrillé, France. He has made significant contributions to the field of medical diagnostics, particularly in the assessment of liver lesions. His innovative approach focuses on non-invasive methods that enhance the accuracy of liver disease diagnosis.
Latest Patents
Paul Calès holds a patent for a groundbreaking invention titled "Multi-targeted fibrosis tests." This patent discloses a non-invasive method for assessing the presence and severity of liver lesions, as well as the risk of death or liver-related events. The method involves performing at least three binary logistic regressions on a variable directed to different diagnostic targets, obtaining multiple scores. These scores are then combined in a multiple linear regression to create a new multi-targeted score. This score can be classified into liver lesion stages or grades, providing a comprehensive assessment of the subject's condition. The invention also includes a unique multi-targeted non-invasive test that combines single-targeted tests, offering improved accuracy compared to traditional methods.
Career Highlights
Throughout his career, Paul Calès has worked with esteemed institutions such as the Centre Hospitalier Universitaire d'Angers and the Université d'Angers. His work in these organizations has contributed to advancements in medical research and diagnostics.
Collaborations
Paul has collaborated with professionals like Sandrine Bertrais and Jérôme Boursier, enhancing the development and application of his innovative diagnostic methods.
Conclusion
Paul Calès is a pioneering inventor whose work in non-invasive liver diagnostics has the potential to transform patient care. His patented methods represent a significant advancement in the field, promising improved diagnostic accuracy and patient outcomes.