ASH 2023 | Machine learning enhances prognostic stratification ability of MIPI
Adrián Mosquera Orgueira
• 10 Dec 2023
Adrian Mosquera Orgueira, MD, PhD, University Hospital of Santiago de Compostela, A Coruña, Spain, provides an overview of a machine learning approach to improve prognostication in patients with mantle cell lymphoma (MCL). By using histological data to enhance the current MCL International Prognostic Index (MIPI) scoring system through machine learning, an improvement was seen in traditional MIPI scoring. This may be of use in the future for improving risk-adapted therapies. This interview took place at the 65th ASH Annual Meeting and Exposition, held in San Diego, CA.
These works are owned by Magdalen Medical Publishing (MMP) and are protected by copyright laws and treaties around the world. All rights are reserved.
