An Optimal Control Framework for the Automated Design of Personalized Cancer Treatments

One of the key challenges in current cancer research is the development of computational strategies to support clinicians in the identification of successful personalized treatments. Control theory might be an effective approach to this end, as proven by the long-established application to therapy d...

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Detalles Bibliográficos
Autores principales: Angaroni, Fabrizio, Graudenzi, Alex, Rossignolo, Marco, Maspero, Davide, Calarco, Tommaso, Piazza, Rocco, Montangero, Simone, Antoniotti, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7270334/
https://www.ncbi.nlm.nih.gov/pubmed/32548108
http://dx.doi.org/10.3389/fbioe.2020.00523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7270334/
https://www.ncbi.nlm.nih.gov/pubmed/32548108
http://dx.doi.org/10.3389/fbioe.2020.00523

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