AIMC Topic: Animals

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A multi-species benchmark for training and validating mass spectrometry proteomics machine learning models.

Scientific data Nov 8, 2024
Training machine learning models for tasks such as de novo sequencing or spectral clustering requires large collections of confidently identified spectra. Here we describe a dataset of 2.8 million high-confidence peptide-spectrum matches derived from...
Mass Spectrometry Benchmarking Animals Peptides Proteomics Humans Machine Learning
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Interpretable machine learning uncovers epithelial transcriptional rewiring and a role for Gelsolin in COPD.

JCI insight Nov 8, 2024
Transcriptomic analyses have advanced the understanding of complex disease pathophysiology including chronic obstructive pulmonary disease (COPD). However, identifying relevant biologic causative factors has been limited by the integration of high di...
Humans Male Machine Learning Lung Transcriptome Disease Models, Animal Female Gene Expression Profiling Gene Regulatory Networks Epithelial Cells Pulmonary Disease, Chronic Obstructive Mice Gelsolin Animals
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Personalized cancer vaccine design using AI-powered technologies.

Frontiers in immunology Nov 8, 2024
Immunotherapy has ushered in a new era of cancer treatment, yet cancer remains a leading cause of global mortality. Among various therapeutic strategies, cancer vaccines have shown promise by activating the immune system to specifically target cancer...
Immunotherapy Precision Medicine Cancer Vaccines Humans Antigens, Neoplasm Animals Artificial Intelligence Vaccine Development Neoplasms
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Deep learning algorithms reveal increased social activity in rats at the onset of the dark phase of the light/dark cycle.

PloS one Nov 8, 2024
The rapid decrease of light intensity is a potent stimulus of rats' activity. The nature of this activity, including the character of social behavior and the composition of concomitant ultrasonic vocalizations (USVs), is unknown. Using deep learning ...
Behavior, Animal Vocalization, Animal Social Behavior Male Deep Learning Rats Photoperiod Algorithms Animals
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Synergistic biophysics and machine learning modeling to rapidly predict cardiac growth probability.

Computers in biology and medicine Nov 7, 2024
Computational models that can predict growth and remodeling of the heart could have important clinical applications. However, the time it takes to calibrate and run current models while considering data uncertainty and variability makes them impracti...
Animals Bayes Theorem Heart Dogs Mitral Valve Insufficiency Models, Cardiovascular Humans Machine Learning Computer Simulation
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Prediction of Multi-Pharmacokinetics Property in Multi-Species: Bayesian Neural Network Stacking Model with Uncertainty.

Molecular pharmaceutics Nov 7, 2024
Pharmacokinetic (PK) properties of a drug are vital attributes influencing its therapeutic effectiveness, playing an important role in the drug development process. Focusing on the difficult task of predicting PK parameters, we compiled an extensive ...
Bayes Theorem Models, Biological Pharmacokinetics Uncertainty Humans Animals Neural Networks, Computer Drug Discovery Drug Development
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Automated acute pain prediction in domestic goats using deep learning-based models on video-recordings.

Scientific reports Nov 7, 2024
Facial expressions are essential in animal communication, and facial expression-based pain scales have been developed for different species. Automated pain recognition offers a valid alternative to manual annotation with growing evidence across speci...
Goats Video Recording Facial Expression Acute Pain Female Deep Learning Animals Support Vector Machine Male Pain Measurement
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Enhancing mosquito classification through self-supervised learning.

Scientific reports Nov 7, 2024
Traditional mosquito identification methods, relied on microscopic observation and morphological characteristics, often require significant expertise and experience, which can limit their effectiveness. This study introduces a self-supervised learnin...
Image Processing, Computer-Assisted Culicidae Supervised Machine Learning Animals Algorithms ROC Curve Reproducibility of Results
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Artificial intelligence correctly classifies developmental stages of monarch caterpillars enabling better conservation through the use of community science photographs.

Scientific reports Nov 7, 2024
Rapid technological advances and growing participation from amateur naturalists have made countless images of insects in their natural habitats available on global web portals. Despite advances in automated species identification, traits like develop...
Photography Butterflies Artificial Intelligence Algorithms Animals Larva Image Processing, Computer-Assisted Conservation of Natural Resources
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Decoding multi-limb movements from two-photon calcium imaging of neuronal activity using deep learning.

Journal of neural engineering Nov 7, 2024
Brain-machine interfaces (BMIs) aim to restore sensorimotor function to individuals suffering from neural injury and disease. A critical step in implementing a BMI is to decode movement intention from recorded neural activity patterns in sensorimotor...
Male Deep Learning Mice Animals Brain-Computer Interfaces Movement Extremities Mice, Inbred C57BL Neurons Calcium
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