Ovarian cancer: Artificial intelligence predicts therapy responses
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. The tool, named IRON (Integrated Radiogenomics for Ovarian Neoadjuvant therapy), analyzes various patient clinical features, from circulating tumor DNA in the blood (liquid biopsy) to general characteristics (age, health status, etc.), tumor markers, and disease images obtained through CT scans. ...













