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Pushing the boundaries of behavioral analysis could aid psychiatric drug discovery
Drug discovery for psychiatric conditions is stagnating. Behavioral changes could be used as a primary phenotypic screen for new drug candidates, if enough useful data can be generated from behavioral models. Could machine learning be the answer to extracting the data we need?
Autores principales: | Sweis, Brian M., Nestler, Eric J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731455/ https://www.ncbi.nlm.nih.gov/pubmed/36480527 http://dx.doi.org/10.1371/journal.pbio.3001904 |
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