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In silico models in oncology, neurology, and epidemiology: systems-level and multiscale perspectives
Matteo Italia1,2,3, José Garcia Otero2,3, Juan Jiménez-Sánchez2,4
1Department of Electronic, Information, and Bioengineering, Politecnico di Milano, Milano, Italy.
None:
Computational medicine uses mathematical modelling, high-performance computing, and the availability of large-scale biomedical data to study multiscale complex diseases. This review synthesises recent developments in in silico oncology, neurology, and epidemiology, highlighting their shared methodological foundations in systems theory and complex networks. We discuss how combining mechanistic approaches with machine learning integrates heterogeneous data. Finally, we identify translation barriers and outline future directions like digital twins for predictive, personalised healthcare.
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