DIETI Contact person / Partner: Giorgio Ventre
Abstract
Multidisciplinary Prostate Cancer Units are designed to facilitate cross consultation and joint decision-making based upon diagnostic evidence to patients. At present, substantial gaps exist in their ability to accurately predict outcome and to counsel patients on short-mid and long-term treatment options. We propose to derive a Quality of Life factor through artificial intelligence and Big Data analytics, collecting, and analyzing data from 3 National Institutions, to understand how a patient’s quality of life changes over time according to type of treatment received and disease progression, also taking into account comorbidities and their own progression.
Objective
Derive a Quality of Life factor through artificial intelligence and big data analytics, to create a comprehensive patient profile that will ultimately save time, consolidate knowledge, give emotional support, provide measurement of physical and mental health, and personalized treatment.
Download
Available
Can be assigned to one doctoral student of cycle XXXVI