AIMC Topic: Animals

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Unlocking the potential of Eudrilus eugeniae in mitigating the pollution risk of pesticides and heavy metals: Fostering machine learning tactics to optimize environmental health.

The Science of the total environment Mar 8, 2025
Agro-industrial waste management remains a critical challenge in sustainable development, particularly due to contamination with heterogeneous micropollutants such as heavy metals (HMs), pesticides, and polyphenols. This study explores an innovative ...
Industrial Waste Metals, Heavy Oligochaeta Biodegradation, Environmental Pesticides Environmental Health Machine Learning Composting Animals Soil Pollutants
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CPHNet: a novel pipeline for anti-HAPE drug screening via deep learning-based Cell Painting scoring.

Respiratory research Mar 8, 2025
BACKGROUND: High altitude pulmonary edema (HAPE) poses a significant medical challenge to individuals ascending rapidly to high altitudes. Hypoxia-induced cellular morphological changes in the alveolar-capillary barrier such as mitochondrial structur...
Deep Learning Drug Evaluation, Preclinical Mice Hypertension, Pulmonary Humans A549 Cells Animals Altitude Sickness
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Popfinder: A Highly Effective Artificial Neural Network Package for Genetic Population Assignment.

Molecular ecology resources Mar 7, 2025
The ability to assign biological samples to source populations with high accuracy and precision based on genetic variation is important for numerous applications from ecological studies through wildlife conservation to epidemiology. However, populati...
Neural Networks, Computer Birds Computational Biology Genetics, Population Software Animals
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Effectors and predictors of conceptus survival in cattle: What is next?

Domestic animal endocrinology Mar 7, 2025
In cattle, the physiological process of switching from cycling to pregnant is complex. Ultimately, that process relies on endometrial luminal epithelial cells and is based on the paracrine context of the uterine lumen. Cells either release luteolytic...
Abortion, Veterinary Pregnancy, Animal Trophoblasts Endometrium Corpus Luteum Artificial Intelligence Pregnancy Female Animals Cattle
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Machine Learning Predicts Non-Preferred and Preferred Vertebrate Hosts of Tsetse Flies (Glossina spp.) Based on Skin Volatile Emission Profiles.

Journal of chemical ecology Mar 7, 2025
Tsetse fly vectors of African trypanosomosis preferentially feed on certain vertebrates largely determined by olfactory cues they emit. Previously, we established that three skin-derived ketones including 6-methyl-5-hepten-2-one, acetophenone and ger...
Vertebrates Animals Skin Tsetse Flies Machine Learning Horses Gas Chromatography-Mass Spectrometry Odorants Kenya Equidae Volatile Organic Compounds Ketones
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Evolving strategies in the diagnosis and treatment of HIV-associated neurocognitive disorders.

Reviews in the neurosciences Mar 6, 2025
Despite significant progress in managing HIV infection, HIV - associated neurocognitive disorder (HAND) continues to be a concern even among HIV individuals with well - controlled infection. Current diagnostic strategies, primarily reliant on neurops...
Neuroimaging Neurocognitive Disorders AIDS Dementia Complex Humans Animals HIV Infections
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Yi-qi-yang-yin decoction ameliorates diabetic retinopathy: New and comprehensive evidence from network pharmacology, machine learning, molecular docking and molecular biology experiment.

Journal of pharmaceutical and biomedical analysis Mar 6, 2025
Yi-Qi-Yang-Yin Decoction (YQYY), a traditional Chinese medicine (TCM) formula, has been used to treat diabetic retinopathy (DR), yet its precise mechanisms of action remain poorly understood. In this study, two distinct diabetic models, namely sponta...
Male Molecular Docking Simulation Diabetes Mellitus, Type 2 Diabetic Retinopathy Machine Learning Animals Mice, Inbred C57BL Drugs, Chinese Herbal Diabetes Mellitus, Experimental Chromatography, High Pressure Liquid Network Pharmacology Signal Transduction Medicine, Chinese Traditional Rats, Sprague-Dawley Mice Rats
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Machine learning models accurately predict clades of proteocephalidean tapeworms (Onchoproteocephalidea) based on host and biogeographical data.

Cladistics : the international journal of the Willi Hennig Society Mar 6, 2025
Proteocephalids are a cosmopolitan and diverse group of tapeworms (Cestoda) that have colonized vertebrate hosts in freshwater and terrestrial environments. Despite the ubiquity of the group, key macroevolutionary processes that have driven the group...
Machine Learning Animals Phylogeny Phylogeography Cestoda
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EVlncRNA-net: A dual-channel deep learning approach for accurate prediction of experimentally validated lncRNAs.

International journal of biological macromolecules Mar 6, 2025
Long non-coding RNAs (lncRNAs) play key roles in numerous biological processes and are associated with various human diseases. High-throughput RNA sequencing (HTlncRNAs) has identified tens of thousands of lncRNAs across species, but only a small fra...
Deep Learning Mice Computational Biology Sequence Analysis, RNA Humans RNA, Long Noncoding Neural Networks, Computer High-Throughput Nucleotide Sequencing Animals
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EViT: An Eagle Vision Transformer With Bi-Fovea Self-Attention.

IEEE transactions on cybernetics Mar 6, 2025
Owing to advancements in deep learning technology, vision transformers (ViTs) have demonstrated impressive performance in various computer vision tasks. Nonetheless, ViTs still face some challenges, such as high computational complexity and the absen...
Eagles Animals Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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