In silico models in oncology, neurology, and epidemiology: systems-level and multiscale perspectives
Matteo Italia, José Garcia Otero, Juan Jiménez-Sánchez, Fabio Dercole, Juan Belmonte-Beitia · 2026
Read In silico models in oncology, neurology, and epidemiology: systems-level and multiscale perspectives by Matteo Italia, José Garcia Otero, Juan Jiménez-Sánchez, Fabio Dercole, Juan Belmonte-Beitia (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13646278.txt.
Description
Matteo Italia and four colleagues review, in a 2026 paper, how computer-built models are used across cancer, brain disease, and epidemics. Computational medicine joins math modeling, heavy computing, and large datasets to study diseases that unfold at many scales at once. The review draws out the shared foundations of the three fields, above all systems theory and network thinking. It also covers how rule-based models are now blended with machine learning to digest mixed data.
Cancer models track tumors from cell signals to whole organs, brain models link circuits to symptoms, and epidemic models scale from contact patterns to populations. The authors argue the fields borrow strength from each other because their methods rhyme. Barriers to clinic use remain, from validation to trust. Their outlook centers on digital twins, virtual copies of patients that could forecast disease course and tailor care in advance.
Catalog record
| CREATOR | Matteo Italia, José Garcia Otero, Juan Jiménez-Sánchez, Fabio Dercole, Juan Belmonte-Beitia |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 101417 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |