Giuseppe Jurman

Abstract The rising global burden of neurodegenerative diseases underscores an urgent need for advanced research in diagnosis, prognosis, and treatment. Artificial Intelligence (AI) methods, particularly when applied to multimodal data, offer a powerful tool to address these challenges. However, a comprehensive overview and critique of the current landscape of AI methods is lacking.

CONFLICT OF INTEREST STATEMENT The authors have declared that they have no potential conflict of interest. Supporting Information Filename Description all16227-sup-0001-DataS1.pdfPDF document, 2.7 MB Data S1. REFERENCES 1, , , . The global burden of asthma: executive summary of the GINA dissemination committee report. Allergy. 2004; 59: 469-478. 2 World Allergy Organisation. In: R Pawankar, GW Canonica, S Holgate, RF Lockey, eds. White Book on Allergy: Update 2013. World Allergy Organization; 2013.

Introduction The recent years have seen the booming of the field of network medicine, a discipline that aims to exploit networks and their analysis to depict and understand the complex relationships between biological processes, drugs, phenotypes, and ultimately diseases.1 Never before has this approach been so relevant to the worldwide medical community, as doctors search for a cure for a novel disease, which appeared suddenly and quickly started making victims.