PTOLEMI: Personalized Cancer Treatment through Machine Learning-Enabled Image Analysis of Microfluidic Assays

Contemporary personalized cancer diagnostic approaches encounter multiple challenges. The presence of cellular and molecular heterogeneity in patient samples introduces complexities to analysis protocols. Conventional analyses are manual, reliant on expert personnel, time-intensive, and financially...

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Detalles Bibliográficos
Autores principales: Moerdler, Bernard, Krasner, Matan, Orenbuch, Elazar, Grad, Avi, Friedman, Benjamin, Graber, Eliezer, Barbiro-Michaely, Efrat, Gerber, Doron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572730/
https://www.ncbi.nlm.nih.gov/pubmed/37835818
http://dx.doi.org/10.3390/diagnostics13193075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572730/
https://www.ncbi.nlm.nih.gov/pubmed/37835818
http://dx.doi.org/10.3390/diagnostics13193075

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