A pioneering study in the field of liver cancer and artificial intelligence
Predicting the prognosis of cancers is very important for adapting treatment regimens. A study conducted under the direction of Dr. Julien Calderaro (Pawlotsky Team), in collaboration with the Owkin start up has just demonstrated that the application of neural networks (artificial intelligence) to histological numeric liver cancer slides made it possible to predict mortality more accurately than all conventional clinical, biological and anatomopathological characteristics.
This work thus opens up interesting perspectives to better detect the patients most at risk and to intensify anti-tumour treatments in this case. This study is published in the journal Hepatology, 28 february 2020.
POSTPONED : (Pending title) :
«Peter Currie - 12h – Amphi 5, 4ème étage de la Faculté de Médecine»
POSTPONED : Matrix therapy and mimetics of Heparan sulfate a new branch of regenerative medicine : from concept to product and from bench to patient. A 30 years saga that was born at UPEC. :
«Denis Barritault - 12h – Amphi 5, 4ème étage de la Faculté de Médecine de Créteil»
POSTPONED : Journal Club Multi-thématique : (upcoming title) :
«Cécile Naït-Meddour - 12h – Salle 3058, 3ème étage de la Faculté de Médecine de Créteil»
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