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.
Regulatory T-cells in Inflammatory disease and Cancer: A Case of Multiple Personality Disorder :
«Fotini GOUNARI - 1 p.m. - Videoconference Zoom»
Cognition de l’expressivité vocale et applications en neuropsychologie :
«Jean-Julien AUCOUTURIER - 12h – Videoconference Zoom»
Maturation and persistence of the anti-SARS-CoV-2 memory B cell response :
«Matthieu MAHEVAS - 12h - Videoconference Zoom»
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