CE45 - Mathématiques et sciences du numérique pour la biologie et la santé

Holistic explainable artificial intelligence schemes for lung cancer prognosis – Hagnodice

Submission summary

Artificial Intelligence and its current success in a variety of fields influences also considerably the field of health care. A great number of algorithms currently provide powerful solutions, assisting medical doctors in their everyday practice in particular for diagnostic purposes. The ambition of this grant proposal is to harness the latest advances and to propose novel, explainable, and computationally efficient artificial intelligence algorithms and companion biomarkers that go beyond diagnosis and address patient stratification, treatment selection, and prognosis for lung cancer that is among the most lethal and associated with low survival. The proposed project is highly interdisciplinary, as it lies at the interface between clinical aspects, such as tools for patient stratification or treatment compatibility, and technical aspects, such as machine and deep learning for explainable representation of medical data and ensemble learning for multi-omics analysis. Highly accurate and robust algorithms are expected to extract valuable information from different biomedical data that can influence both medical and technical communities towards precision medicine.

Project coordination

Maria Vakalopoulou (Mathématiques et Informatique pour la Complexité et les Systèmes)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.


MICS Mathématiques et Informatique pour la Complexité et les Systèmes
IMAGINA DMU APHP.Centre : Imagerie, médecine nucléaire et anatomo-pathologie
University of Pennsylvanis / Center for Biomedical Image Computing and Analytics
Technical University of Munich / Artificial Intelligence in Healthcare and Medicine
CONICET, Universidad Nacional del Litoral / Research Institute for Signals, Systems and Computational Intelligence, sinc(i)

Help of the ANR 212,520 euros
Beginning and duration of the scientific project: - 48 Months

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