Anne-Sophie Chrétien‘s research on the use of artificial intelligence for the early detection of pancreatic cancer was recently highlighted in an article in the newspaper La Provence. This research uses machine learning approaches to analyze very large volumes of biological data and identify early signs of cancerous transformation from blood samples.

In particular, this research aims to detect rare populations of pro-tumor immune cells involved in the progression of high-risk pancreatic lesions. Although present in very small quantities in the blood, these cells are key markers that can be identified thanks to the analysis and modeling capabilities offered by artificial intelligence.

The long-term goal is to develop a minimally invasive screening tool, based on a simple blood test, enabling earlier detection of the disease and significantly improving patient care. In this work, artificial intelligence is used as an analysis aid, complementing biological and medical expertise rather than replacing it.

👉 Read the article in La Provence.