Improving personalized tumor growth predictions using a Bayesian combination of mechanistic modeling and machine learning

BACKGROUND: In clinical practice, a plethora of medical examinations are conducted to assess the state of a patient’s pathology producing a variety of clinical data. However, investigation of these data faces two major challenges. Firstly, we lack the knowledge of the mechanisms involved in regulati...

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Detalles Bibliográficos
Autores principales: Mascheroni, Pietro, Savvopoulos, Symeon, Alfonso, Juan Carlos López, Meyer-Hermann, Michael, Hatzikirou, Haralampos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053281/
https://www.ncbi.nlm.nih.gov/pubmed/35602187
http://dx.doi.org/10.1038/s43856-021-00020-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053281/
https://www.ncbi.nlm.nih.gov/pubmed/35602187
http://dx.doi.org/10.1038/s43856-021-00020-4

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