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? Behavioral changes cou...
| Published in: | PLoS Biology |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-12-01
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731455/?tool=EBI |