Machine learning approaches to predict drug efficacy and toxicity in oncology

In recent years, there has been a surge of interest in using machine learning algorithms (MLAs) in oncology, particularly for biomedical applications such as drug discovery, drug repurposing, diagnostics, clinical trial design, and pharmaceutical production. MLAs have the potential to provide valuab...

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Detalles Bibliográficos
Autores principales: Badwan, Bara A., Liaropoulos, Gerry, Kyrodimos, Efthymios, Skaltsas, Dimitrios, Tsirigos, Aristotelis, Gorgoulis, Vassilis G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014302/
https://www.ncbi.nlm.nih.gov/pubmed/36936080
http://dx.doi.org/10.1016/j.crmeth.2023.100413

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014302/
https://www.ncbi.nlm.nih.gov/pubmed/36936080
http://dx.doi.org/10.1016/j.crmeth.2023.100413

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