AIMC Topic: Behavior, Animal
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Integrating artificial intelligence and optogenetics for Parkinson's disease diagnosis and therapeutics in male mice.
Nature communications
Aug 21, 2025
Parkinson's disease (PD), a progressive neurodegenerative disorder, presents complex motor symptoms and lacks effective disease-modifying treatments. Here we show that integrating artificial intelligence (AI) with optogenetic intervention, termed opt...
Balancing ethics and statistics: machine learning facilitates highly accurate classification of mice according to their trait anxiety with reduced sample sizes.
Translational psychiatry
Aug 21, 2025
Understanding how individual differences influence vulnerability to disease and responses to pharmacological treatments represents one of the main challenges in behavioral neuroscience. Nevertheless, inter-individual variability and sex-specific patt...
High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing.
Scientific reports
Jul 18, 2025
Caenorhabditis elegans is a widely used animal model for researching new disease treatments. In recent years, automated methods have been developed to extract mobility phenotypes and analyse, using statistical methods, whether there are differences b...
An integrative assay for measuring social aversion and motivation in freely behaving mice.
Cell reports methods
Jul 17, 2025
Social aversion is a key feature of numerous mental health disorders, yet we lack adequate behavioral tools to interrogate social aversion in model systems. Here, we developed a behavioral task-selective access to unrestricted social interaction (SAU...
Association of artificial intelligence-predicted milk yield residuals to behavioral patterns and transition success in multiparous dairy cows.
Journal of dairy science
Jul 16, 2025
Data-driven health monitoring based on milk yield has shown potential to identify health-perturbing events during the transition period. As a proof of principle, we explored the association between the cow's residual milk yield, that is, the differen...
Artificial intelligence tools to assess different levels of activity performed by semi-wild horses in grassland ecosystems.
Environmental monitoring and assessment
Jul 16, 2025
In order to understand the role of horses in ecosystems and to effectively use their grazing in the protection of grasslands, it is important to assess where they primarily stay, followed by whether these habitats are used for grazing or resting. The...
DeepEthoProfile-Rapid Behavior Recognition in Long-Term Recorded Home-Cage Mice.
eNeuro
Jul 15, 2025
Animal behavior is crucial for understanding both normal brain function and dysfunction. To facilitate behavior analysis of mice within their home environments, we developed DeepEthoProfile, an open-source software powered by a deep convolutional neu...
An iterative approach to identify key predictive features of fear reactivity and fearfulness in horses (Equus caballus).
Scientific reports
Jul 9, 2025
This study extends previous findings by applying artificial intelligence (AI) methods to a larger dataset to identify key features that predict fear reactivity (i.e., immediate reaction to fear inducing stimuli) and fearfulness (i.e., a stable person...
Gut microbiota composition is related to anxiety and aggression scores in companion dogs.
Scientific reports
Jul 8, 2025
There is mounting evidence for a link between behaviour and the gut microbiome in animal and human health. However, the role of the gut microbiome in the development and severity of behavioural issues in companion dogs is not yet fully understood. He...
Machine learning-based model for behavioural analysis in rodents applied to the forced swim test.
Scientific reports
Jul 1, 2025
The Forced Swim Test (FST) is a widely used preclinical model for assessing antidepressant efficacy, studying stress response, and evaluating depressive-like behaviours in rodents. Over the last 10 years, more than 5500 scientific articles reporting ...
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