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Integrating transcriptomic data and artificial intelligence to personalize curative treatments for head and neck cancer patients

Stefano Cavalieri et al · Nature Portfolio · 2026

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Author / responsible party
Stefano Cavalieri et al
Publisher
Nature Portfolio
Year
2026
ISSN
2397-768X
ISSN
2397-768X
Language
English

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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.

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APA 7

al, S. C. E. (2026). Integrating transcriptomic data and artificial intelligence to personalize curative treatments for head and neck cancer patients. https://doi.org/10.1038/s41698-026-01369-2

MLA

al, Stefano Cavalieri et. "Integrating transcriptomic data and artificial intelligence to personalize curative treatments for head and neck cancer patients." 2026. https://doi.org/10.1038/s41698-026-01369-2.

Chicago

al, Stefano Cavalieri et. 2026. "Integrating transcriptomic data and artificial intelligence to personalize curative treatments for head and neck cancer patients.". https://doi.org/10.1038/s41698-026-01369-2.

Harvard

al, S. C. E. 2026, Integrating transcriptomic data and artificial intelligence to personalize curative treatments for head and neck cancer patients, Nature Portfolio, available at: https://doi.org/10.1038/s41698-026-01369-2 [Accessed 7 Aug. 2026].

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Title
Integrating transcriptomic data and artificial intelligence to personalize curative treatments for head and neck cancer patients
Author / contributors
Stefano Cavalieri et al
Publisher
Nature Portfolio
Publication year
2026
ISSN
2397-768X
ISSN
2397-768X
Language
English
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