Cargando…
A novel deep learning segmentation model for organoid-based drug screening
Organoids are self-organized three-dimensional in vitro cell cultures derived from stem cells. They can recapitulate organ development, tissue regeneration, and disease progression and, hence, have broad applications in drug discovery. However, the lack of effective graphic algorithms for organoid g...
Autores principales: | Wang, Xiaowen, Wu, Chunyue, Zhang, Shudi, Yu, Pengfei, Li, Lu, Guo, Chunming, Li, Rui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794595/ https://www.ncbi.nlm.nih.gov/pubmed/36588731 http://dx.doi.org/10.3389/fphar.2022.1080273 |
Ejemplares similares
-
A deep learning model for drug screening and evaluation in bladder cancer organoids
por: Zhang, Shudi, et al.
Publicado: (2023) -
Organoids and Microphysiological Systems: New Tools for Ophthalmic Drug Discovery
por: Bai, Jing, et al.
Publicado: (2020) -
Deep Learning Based Drug Metabolites Prediction
por: Wang, Disha, et al.
Publicado: (2020) -
An Integrated Deep Learning and Molecular Dynamics Simulation-Based Screening Pipeline Identifies Inhibitors of a New Cancer Drug Target TIPE2
por: Zhang, Haiping, et al.
Publicado: (2021) -
An individualized medication model of sodium valproate for patients with bipolar disorder based on machine learning and deep learning techniques
por: Zheng, Ping, et al.
Publicado: (2022)