AIMC Topic: Animals

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A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions.

Nature communications Feb 3, 2025
Cells are regulated at multiple levels, from regulations of individual genes to interactions across multiple genes. Some recent neural network models can connect molecular changes to cellular phenotypes, but their design lacks modeling of regulatory ...
Hair Follicle Polymorphism, Single Nucleotide Transcription Factors Gene Expression Regulation Gene Regulatory Networks Mice Humans Neural Networks, Computer Animals Diabetes Mellitus, Type 2 Single-Cell Analysis
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Fundus camera-based precision monitoring of blood vitamin A level for Wagyu cattle using deep learning.

Scientific reports Feb 3, 2025
In the wagyu industry worldwide, high-quality marbling beef is produced by promoting intramuscular fat deposition during cattle fattening stage through dietary vitamin A control. Thus, however, cattle become susceptible to either vitamin A deficiency...
Animals Deep Learning Cattle Vitamin A Cattle Diseases Fundus Oculi Vitamin A Deficiency Photography
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Accelerating biopharmaceutical cell line selection with label-free multimodal nonlinear optical microscopy and machine learning.

Communications biology Feb 3, 2025
The selection of high-performing cell lines is crucial for biopharmaceutical production but is often time-consuming and labor-intensive. We investigated label-free multimodal nonlinear optical microscopy for non-perturbative profiling of biopharmaceu...
Cricetulus Machine Learning Cricetinae Microscopy, Fluorescence Animals Microscopy CHO Cells
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A machine learning driven computationally efficient horse shoe shaped antenna design for internet of medical things.

PloS one Feb 3, 2025
With bio-medical wearables becoming an essential part of Internet of Medical things (IoMT) for monitoring the health of workers, patients and others in different environments, antenna play a pivotal role in such wearables. In this communication, a no...
Equipment Design Algorithms Wireless Technology Internet of Things Shoes Animals Horses Wearable Electronic Devices Humans Machine Learning
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Evaluating the synergistic use of advanced liver models and AI for the prediction of drug-induced liver injury.

Expert opinion on drug metabolism & toxicology Feb 2, 2025
INTRODUCTION: Drug-induced liver injury (DILI) is a leading cause of acute liver failure. Hepatotoxicity typically occurs only in a subset of individuals after prolonged exposure and constitutes a major risk factor for the termination of drug develop...
Risk Factors Animals Risk Assessment Humans Machine Learning Liver Failure, Acute Models, Biological Drug Evaluation, Preclinical Chemical and Drug Induced Liver Injury Drug Development Liver
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Hybrid neural networks for continual learning inspired by corticohippocampal circuits.

Nature communications Feb 2, 2025
Current artificial systems suffer from catastrophic forgetting during continual learning, a limitation absent in biological systems. Biological mechanisms leverage the dual representation of specific and generalized memories within corticohippocampal...
Cerebral Cortex Nerve Net Memory Models, Neurological Learning Neurons Animals Hippocampus Humans Neural Networks, Computer
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Identifying bee species origins of Philippine honey using X-ray fluorescence elemental analysis coupled with machine learning.

Food chemistry Feb 1, 2025
Stingless bee honey is emerging as a superfood, given its enhanced health and therapeutic benefits. In this paper, we used handheld X-ray fluorescence spectroscopy (hXRF) with machine learning techniques to classify Philippine honey based on its ento...
Honey Machine Learning Bees Animals Spectrometry, X-Ray Emission Philippines
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Deep learning assisted prediction of osteogenic capability of orthopedic implant surfaces based on early cell morphology.

Acta biomaterialia Feb 1, 2025
The surface modification of titanium (Ti) and its alloys is crucial for improving their osteogenic capability, as their bio-inert nature limits effective osseointegration despite their prevalent use in orthopedic implants. However, these modification...
Osteogenesis Alkaline Phosphatase Surface Properties Cell Differentiation Titanium Prostheses and Implants Alloys Humans Animals Deep Learning
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Temporal pavlovian conditioning of a model spiking neural network for discrimination sequences of short time intervals.

Journal of computational neuroscience Feb 1, 2025
The brain's ability to learn and distinguish rapid sequences of events is essential for timing-dependent tasks, such as those in sports and music. However, the mechanisms underlying this ability remain an active area of research. Here, we present a P...
Conditioning, Classical Humans Time Perception Neural Networks, Computer Discrimination, Psychological Animals Action Potentials Neurons Time Factors Nerve Net Models, Neurological
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Automated and explainable machine learning for monitoring lipid and protein oxidative damage in mutton using hyperspectral imaging.

Food research international (Ottawa, Ont.) Feb 1, 2025
Current detection methods for lipid and protein oxidation using hyperspectral imaging (HSI) in conjunction with machine learning (ML) necessitate the involvement of data scientists and domain experts to adjust the model architecture and tune hyperpar...
Lipids Machine Learning Proteins Oxidation-Reduction Hyperspectral Imaging Animals Oxidative Stress
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