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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...
Autores principales: | Li, Hui, Seada, Haitham, Madnick, Samantha, Zhao, He, Chen, Zhaozeng, Li, Fengcheng, Zhu, Feng, Hall, Susan, Boekelheide, Kim |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
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 |
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