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Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images
Likely drug candidates which are identified in traditional pre-clinical drug screens often fail in patient trials, increasing the societal burden of drug discovery. A major contributing factor to this phenomenon is the failure of traditional in vitro models of drug response to accurately mimic many...
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| Wydane w: | IEEE/ACM Trans Comput Biol Bioinform |
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| Główni autorzy: | , , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2018
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7904235/ https://ncbi.nlm.nih.gov/pubmed/29993583 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCBB.2018.2841396 |
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