In recent years, multiple tools have been developed for the behavioral evaluation of rodents thanks to artificial intelligence. These tools allow a comprehensive analysis of the behavior of animals and changes in their behavior. Computers do not get tired or fatigued managing large amounts of data, which is a significant advantage of the use of these methodologies to increase the speed and accuracy in the data processing while increasing the evaluation time, which might potentially detect behaviours performed at a low frequency, or to aid to define new behavioural phenotypes which might be have gone previously unnoticed to human observers. Therefore, these tools could be useful to increase the translation from rodents to humans in drug discovery.
1. The present Research Topic has the goal to collect the current advancement of Artificial Intelligence tools used to improve the preclinical rodent drug screening.
2. To make available up-to-date information on novel tools to screening rodent behavior.
3. To gain knowledge about the improve in the translation from preclinical pain research to the clinical practice by the use of more sophisticate behavioral analysis.
This Research Topic in Frontiers of Pharmacology, to explore Use of Artificial Intelligence to evaluate drug-related behavioral changes in rodents will focus on the behavioral evaluation of rodents by artificial intelligence tools in drug screening. Authors using neural networks, dimensionality reduction technics, pose estimations, unsupervised machine learning approaches or other AI tools that help to increase the information obtained by behavioral evaluation are welcome to submit to this topic.
In recent years, multiple tools have been developed for the behavioral evaluation of rodents thanks to artificial intelligence. These tools allow a comprehensive analysis of the behavior of animals and changes in their behavior. Computers do not get tired or fatigued managing large amounts of data, which is a significant advantage of the use of these methodologies to increase the speed and accuracy in the data processing while increasing the evaluation time, which might potentially detect behaviours performed at a low frequency, or to aid to define new behavioural phenotypes which might be have gone previously unnoticed to human observers. Therefore, these tools could be useful to increase the translation from rodents to humans in drug discovery.
1. The present Research Topic has the goal to collect the current advancement of Artificial Intelligence tools used to improve the preclinical rodent drug screening.
2. To make available up-to-date information on novel tools to screening rodent behavior.
3. To gain knowledge about the improve in the translation from preclinical pain research to the clinical practice by the use of more sophisticate behavioral analysis.
This Research Topic in Frontiers of Pharmacology, to explore Use of Artificial Intelligence to evaluate drug-related behavioral changes in rodents will focus on the behavioral evaluation of rodents by artificial intelligence tools in drug screening. Authors using neural networks, dimensionality reduction technics, pose estimations, unsupervised machine learning approaches or other AI tools that help to increase the information obtained by behavioral evaluation are welcome to submit to this topic.
