AIMC Topic: Animals

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MMD-Net: Image domain multi-material decomposition network for dual-energy CT imaging.

Medical physics Nov 18, 2024
BACKGROUND: Multi-material decomposition is an interesting topic in dual-energy CT (DECT) imaging; however, the accuracy and performance may be limited using the conventional algorithms.
Phantoms, Imaging Animals Swine Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed
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Magnetic soft microrobots for erectile dysfunction therapy.

Proceedings of the National Academy of Sciences of the United States of America Nov 18, 2024
Erectile dysfunction (ED) is a major threat to male fertility and quality of life, and mesenchymal stromal cells (MSCs) are a promising therapeutic option. However, therapeutic outcomes are compromised by low MSC retention and survival rates in corpu...
Humans Animals Male Rats Rats, Sprague-Dawley Penis Mesenchymal Stem Cell Transplantation Dogs Disease Models, Animal Mesenchymal Stem Cells Robotics Erectile Dysfunction Magnetite Nanoparticles
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An interactive AI-driven platform for fish age reading.

PloS one Nov 18, 2024
Fish age is an important biological variable required as part of routine stock assessment and analysis of fish population dynamics. Age estimates are traditionally obtained by human experts from the count of ring-like patterns along calcified structu...
Fishes Machine Learning Humans Animals Neural Networks, Computer Aging Artificial Intelligence
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Methodology for quality risk prediction for milk powder production plants with domain-knowledge-involved serial neural networks.

Food chemistry Nov 17, 2024
In dairy enterprises, predicting product quality attributes that are influenced by operating parameters is a major task. To reduce quality loss in production, a prediction-based quality control method is proposed in this study. In particular, a seria...
Powders Dairying Neural Networks, Computer Cattle Quality Control Animals Milk
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Multi-compartment neuron and population encoding powered spiking neural network for deep distributional reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Nov 17, 2024
Inspired by the brain's information processing using binary spikes, spiking neural networks (SNNs) offer significant reductions in energy consumption and are more adept at incorporating multi-scale biological characteristics. In SNNs, spiking neurons...
Dendrites Neural Networks, Computer Algorithms Computer Simulation Action Potentials Humans Animals Neurons Deep Learning Reinforcement, Psychology Models, Neurological
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Explainable machine learning models for predicting the acute toxicity of pesticides to sheepshead minnow (Cyprinodon variegatus).

The Science of the total environment Nov 16, 2024
A quantitative structure-activity relationship (QSAR) study was conducted on 313 pesticides to predict their acute toxicity to Sheepshead minnow (Cyprinodon variegatus) by using DRAGON descriptors. Essentials accounting for a reliable model were all ...
Machine Learning Pesticides Quantitative Structure-Activity Relationship Toxicity Tests, Acute Killifishes Animals Support Vector Machine Water Pollutants, Chemical
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Comprehensive analysis and validation of TP73 as a biomarker for calcium oxalate nephrolithiasis using machine learning and in vivo and in vitro experiments.

Urolithiasis Nov 16, 2024
Calcium oxalate (CaOx) nephrolithiasis constitutes approximately 75% of nephrolithiasis cases, resulting from the supersaturation and deposition of CaOx crystals in renal tissues. Despite their prevalence, precise biomarkers for CaOx nephrolithiasis ...
Biomarkers Animals Male Humans Machine Learning Tumor Protein p73 Apoptosis Nephrolithiasis Calcium Oxalate Rats Rats, Sprague-Dawley Disease Models, Animal
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Identification and validation of biomarkers related to mitochondria during ex vivo lung perfusion for lung transplants based on machine learning algorithm.

Gene Nov 15, 2024
BACKGROUND: Ex vivo lung perfusion (EVLP) is a critical strategy to rehabilitate marginal donor lungs, thereby increasing lung transplantation (LTx) rates. Ischemia-reperfusion (I/R) injury inevitably occurs during LTx. Exploring the common mechanism...
Reperfusion Injury Mitochondria Lung Transplantation Protein Interaction Maps Mice Mice, Inbred C57BL Perfusion Algorithms Biomarkers Animals Male Lung Gene Expression Profiling Humans Machine Learning
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Decoding Continuous Tracking Eye Movements from Cortical Spiking Activity.

International journal of neural systems Nov 15, 2024
Eye movements are the primary way primates interact with the world. Understanding how the brain controls the eyes is therefore crucial for improving human health and designing visual rehabilitation devices. However, brain activity is challenging to d...
Neurons Macaca mulatta Eye Movements Models, Neurological Action Potentials Neural Networks, Computer Machine Learning Animals Male Eye-Tracking Technology
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MuSE: A deep learning model based on multi-feature fusion for super-enhancer prediction.

Computational biology and chemistry Nov 15, 2024
Although bioinformatics-based methods accurately identify SEs (Super-enhancers), the results depend on feature design. It is foundational to representing biological sequences and automatically extracting their key features for improving SE identifica...
Enhancer Elements, Genetic Deep Learning Mice Computational Biology Humans Animals
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