Integrating transcriptomic data and artificial intelligence to personalize curative treatments for head and neck cancer patients
Year: 2026
Type: article
Abstract: Personalized treatment in head and neck cancer remains limited despite substantial biological heterogeneity. Using the SuPerTreat project as a case study, we outline a prototype clinical decision support system (CDSS) integrating transcriptomic data and artificial intelligence (AI), and summarize expert consensus on its potential, requirements for accuracy, validation, regulatory alignment, and clinical implementation. This Perspective provides a roadmap to guide future development and responsible integration of CDSS into precision oncology.
Source: npj Precision Oncology
Institutions: University of Milan, Fondazione IRCCS Istituto Nazionale dei Tumori, European Institute of Oncology, University of Palermo, University of Birmingham, The University of Texas MD Anderson Cancer Center, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Brigham and Women's Hospital, Harvard University, Dana-Farber Cancer Institute, Lyon 1 Université, Centre National de la Recherche Scientifique, Inserm, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, Université Paris-Saclay, Institut Curie
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,090
OpenAlex ID: W7135390407