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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?

Detalles Bibliográficos
Autores principales: Sweis, Brian M., Nestler, Eric J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
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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