Predicting Therapy Success With IRON

Results from a study published in the journal Nature Communications, co-designed and co-supervised by Prof. Evis Sala from the Catholic University at Rome, and Policlinico A. Gemelli IRCCS.

A model based on artificial intelligence is able to predict the therapy outcome (measured by volumetric reduction of tumor lesions) in 80% of ovarian cancer patients. The AI-based model has an accuracy of 80%, significantly better than current clinical methods.

IRON: The Forefront of Predictive Oncology

The tool, named IRON (Integrated Radiogenomics for Ovarian Neoadjuvant therapy), analyzes various…