Machine Learning-Assisted High-Content Imaging Analysis of 3D MCF7 Microtissues for Estrogenic Effect Prediction

Endocrine-disrupting chemicals (EDCs) pose a significant threat to human well-being and the ecosystem. However, in managing the many thousands of uncharacterized chemical entities, the high-throughput screening of EDCs using relevant biological endpoints remains challenging. Three-dimensional (3D) c...

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Detalles Bibliográficos
Autores principales: Li, Hui, Seada, Haitham, Madnick, Samantha, Zhao, He, Chen, Zhaozeng, Li, Fengcheng, Zhu, Feng, Hall, Susan, Boekelheide, Kim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602099/
https://www.ncbi.nlm.nih.gov/pubmed/37886543
http://dx.doi.org/10.21203/rs.3.rs-3343627/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602099/
https://www.ncbi.nlm.nih.gov/pubmed/37886543
http://dx.doi.org/10.21203/rs.3.rs-3343627/v1

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