Digital Twins for Targeted Therapy in Head and Neck Cancer: From Molecular Stratification to Resistance-Aware Combination Strategies
Francisca Gonçalves, Marta Gonçalves, Pedro Barata, Nuno Vale · 2026
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Description
Francisca Goncalves and co-authors review digital twins for therapy aimed at set targets in head and neck cancer. Their 2026 review puts forth a frame that joins molecular stratification with plans for more than one drug. Those plans take resistance into account.
Head and neck squamous cell carcinoma is hard to treat. Tumours split by a wide range, and resistance keeps in flux. No digital twin frame in use now joins all these parts in one system that can adapt. The parts are grouping by molecules, checks on resistance over time, and models of how drugs act. Support for choices in clinics is a part too. The team looks at how genomic data, imaging models, liquid biopsies, and lab tests of drugs could feed a model of each patient. That model would be kept up to date at all times. Forecasts of toxicity and artificial intelligence also feature.
Catalog record
| CREATOR | Francisca Gonçalves, Marta Gonçalves, Pedro Barata, Nuno Vale |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 88 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |