The SMAD-CC project
Our goal is to build a free-text database consolidating clinical, biological, molecular, and pharmacological data on patients at our hospital. We anticipate that this will improve the ability to predict future events for patients undergoing cancer treatment. We are using natural language processing (NLP), molecular data, and the modeling of dynamic phenomena to create this database.
Project leaders:
Loic VERLINGUE
I am a physician specializing in clinical research and an artificial intelligence researcher. I participate in clinical trials evaluating new drugs, particularly for the treatment of patients with gastrointestinal or gynecological cancers. My research projects focus on the use of various types of routinely generated data: cancer molecular data, medical text data, and pharmacological data.
My goal is to develop digital tools that can assist in the care of cancer patients. I am committed to transforming the most promising tools into medical software for integration into our clinical practice. I have been leading a research team focused on these areas for five years.
Guillaume METZLER
A computer science faculty member at the Laboratoire ERIC, affiliated with Université Lumière Lyon 2 since September 2020, I previously defended my PhD in Computer Science—focusing on learning in imbalanced contexts—in September 2019.
At the same time, I continue to participate in projects with my previous research laboratory, focusing on topics such as transfer learning, fairness, and PAC-Bayesian learning theory.
