AIMC Topic: Animals

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SeizyML: An Application for Semi-Automated Seizure Detection Using Interpretable Machine Learning Models.

Neuroinformatics Mar 3, 2025
Despite the vast number of publications reporting seizures and the reliance of the field on accurate seizure detection, there is a lack of open-source software tools in the scientific community for automating seizure detection based on electrographic...
Animals Mice Bayes Theorem Electroencephalography Seizures Machine Learning Software
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Harnessing machine learning for rational drug design.

Advances in pharmacology (San Diego, Calif.) Mar 3, 2025
A crucial part of biomedical research is drug discovery, which aims to find and create innovative medical treatments for a range of illnesses. However, there are intrinsic obstacles to the traditional approach of discovering novel medications, includ...
Machine Learning Animals Drug Design Humans Drug Discovery
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Antibacterial and antibiofilm activities of star anise-cinnamon essential oil against multidrug-resistant Thompson.

Frontiers in cellular and infection microbiology Mar 3, 2025
INTRODUCTION: The emergence of foodborne multidrug-resistant (MDR) has attracted considerable global attention. Given that food is the primary transmission route, our study focuses on , a freshwater snail that is commonly consumed as a specialty foo...
Satureja Oils, Volatile China Anti-Bacterial Agents Biofilms Drug Resistance, Multiple, Bacterial Cinnamomum zeylanicum Animals Microbial Sensitivity Tests Salmonella Snails
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A Surface-Enhanced Raman Spectroscopy Platform Integrating Dual Signal Enhancement and Machine Learning for Rapid Detection of Veterinary Drug Residues in Meat Products.

ACS applied materials & interfaces Mar 2, 2025
The detection and quantification of veterinary drug residues in meat remain a significant challenge due to the complex background interference inherent to the meat matrix, which compromises the stability and accuracy of spectroscopic analysis. This s...
Machine Learning Animals Veterinary Drugs Metal Nanoparticles Meat Products Drug Residues Spectrum Analysis, Raman Food Contamination
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Stratified quantitative analysis of the penetration of active ingredients in the skin by infrared spectroscopic imaging.

Talanta Mar 1, 2025
A stratified quantitative analysis method for active ingredients in the skin was developed by integrating microscopic infrared spectroscopy, chemometrics, and machine learning. Hierarchical clustering of the stratum corneum, active epidermis, and der...
Humans Skin Spectrophotometry, Infrared Skin Absorption Machine Learning Animals Peptides
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Near-infrared spectroscopy assisted by random forest for predicting the physicochemical indicators of yak milk powder.

Food chemistry Mar 1, 2025
High-efficiency and cost-effective detection of physicochemical indicators is essential for the quality control of yak milk powder. Herein, a rapid and simultaneous detection method based on miniaturized near-infrared (NIR) spectroscopy and chemometr...
Animals Milk Proteins Spectroscopy, Near-Infrared Fats Cattle Milk Random Forest Powders Quality Control
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PM concentration prediction using a whale optimization algorithm based hybrid deep learning model in Beijing, China.

Environmental pollution (Barking, Essex : 1987) Mar 1, 2025
PM is a significant global atmospheric pollutant impacting visibility, climate, and public health. Accurate prediction of PM concentrations is critical for assessing air pollution risks and providing early warnings for effective management. This stud...
Deep Learning Environmental Monitoring Air Pollutants Algorithms Animals Whales Air Pollution Particulate Matter Beijing
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A deep learning strategy to identify cell types across species from high-density extracellular recordings.

Cell Feb 28, 2025
High-density probes allow electrophysiological recordings from many neurons simultaneously across entire brain circuits but fail to reveal cell type. Here, we develop a strategy to identify cell types from extracellular recordings in awake animals an...
Purkinje Cells Deep Learning Animals Cerebellum Male Mice Mice, Inbred C57BL Interneurons Rats Neurons Optogenetics
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Toward a rapid, sensitive, user-friendly, field-deployable artificial intelligence tool for enhancing African swine fever diagnosis and reporting.

American journal of veterinary research Feb 28, 2025
OBJECTIVE: African swine fever (ASF) is a lethal and highly contagious transboundary animal disease with the potential for rapid international spread. Lateral flow assays (LFAs) are sometimes hard to read by the inexperienced user, mainly due to the ...
Artificial Intelligence Sensitivity and Specificity Animals African Swine Fever Smartphone Swine Deep Learning
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Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness.

IEEE transactions on neural networks and learning systems Feb 28, 2025
Synaptic plasticity plays a critical role in the expression power of brain neural networks. Among diverse plasticity rules, synaptic scaling presents indispensable effects on homeostasis maintenance and synaptic strength regulation. In the current mo...
Synapses Action Potentials Neurons Algorithms Computer Simulation Humans Learning Neural Networks, Computer Animals Neuronal Plasticity Models, Neurological
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