Personalized Lung Cancer Risk Profiling, Diagnosis, and Prognosis (IDERHA study)

The project (IDERHA study) investigates and develops machine learning models for lung cancer risk profiling, diagnosis, and prognosis. The study project is part of IDERHA partnership (Integration of Heterogeneous Data and Evidence towards Regulatory and HTA Acceptance), a European public-private partnership addressing obstacles in accessing integrating and analysing health data to maximize their value for patient care and medical research.