Related Experiment Video

Updated: Mar 16, 2026

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma
06:11

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma

Published on: April 20, 2018

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

Stefano Cavalieri1,2, Loris De Cecco3, Dario Monzani4,5

  • 1Head and Neck Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy. stefano.cavalieri@istitutotumori.mi.it.

NPJ Precision Oncology
|March 15, 2026
PubMed

Insights

Personalized head and neck cancer treatment is challenging due to biological differences. A prototype clinical decision support system (CDSS) using artificial intelligence (AI) and transcriptomic data offers a roadmap for precision oncology.

Area of Science:

  • Oncology
  • Bioinformatics
  • Medical Informatics

Background:

  • Personalized treatment for head and neck cancer is limited by significant biological heterogeneity.
  • Existing approaches do not fully leverage complex biological data for individualized therapy.

Purpose of the Study:

  • To outline a prototype clinical decision support system (CDSS) for head and neck cancer.
  • To summarize expert consensus on the integration of transcriptomic data and artificial intelligence (AI) in precision oncology.
  • To provide a roadmap for the development and implementation of CDSS in clinical practice.

Main Methods:

  • The SuPerTreat project served as a case study for developing the CDSS prototype.
  • Integration of transcriptomic data with artificial intelligence (AI) algorithms.
  • Summarization of expert consensus through a structured process.

Main Results:

  • A prototype CDSS integrating transcriptomic data and AI was developed.
  • Expert consensus was reached on the potential, accuracy requirements, validation, regulatory alignment, and implementation of CDSS.
  • A roadmap for future development and responsible integration was established.

Conclusions:

  • Clinical decision support systems (CDSS) hold significant potential for advancing personalized head and neck cancer treatment.
  • Successful integration requires careful consideration of data accuracy, validation, regulatory pathways, and clinical workflow.
  • This work provides a framework for the responsible implementation of AI-driven CDSS in precision oncology.

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