Integrating transcriptomic data and artificial intelligence to personalize curative treatments for head and neck cancer patients
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.
Authors
- Dario Monzani (ORCID: https://orcid.org/0000-0001-9544-2933)
- C. Simon
- Loris De Cecco
- Christophe Le Tourneau
- Lisa Licitra
- Hisham Mehanna
- Stefano Cavalieri
- Pierre Saintigny
- Robert Haddad
- Renata Ferrarotto
Institutions
- Université Claude Bernard Lyon 1 (FR)
- Brigham and Women's Hospital (US)
- Centre National de la Recherche Scientifique (FR)
- The University of Texas MD Anderson Cancer Center (US)
- Harvard University (US)
- Inserm (FR)
- University of Milan (IT)
- Université Paris-Saclay (FR)
- Centre Hospitalier Universitaire Vaudois (CH)
- Centre Léon Bérard (FR)
- Dana-Farber Cancer Institute (US)
- Centre de Recherche en Cancérologie de Lyon (FR)
- Cancer Research UK Clinical Trials Unit (GB)
- Fondazione IRCCS Istituto Nazionale dei Tumori (IT)
- European Institute of Oncology (IT)
- Institut Curie (FR)
- University of Palermo (IT)
Publication Details
- Journal
- npj Precision Oncology
- Published
- 2026-03-14
- DOI
- https://doi.org/10.1038/s41698-026-01369-2
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00