AIMC Topic: Animals
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AI-Based solutions for current challenges in regenerative medicine.
European journal of pharmacology
Oct 24, 2024
The emergence of Artificial Intelligence (AI) and its usage in regenerative medicine represents a significant opportunity that holds the promise of tackling critical challenges and improving therapeutic outcomes. This article examines the ways in whi...
Discriminating fingerprints of chronic neuropathic pain following spinal cord injury using artificial neural networks and mass spectrometry analysis of female mice serum.
Neurochemistry international
Oct 23, 2024
Spinal cord injury (SCI) often leads to central neuropathic pain, a condition associated with significant morbidity and is challenging in terms of the clinical management. Despite extensive efforts, identifying effective biomarkers for neuropathic pa...
Deep-Learning-Based Segmentation of Cells and Analysis (DL-SCAN).
Biomolecules
Oct 23, 2024
With the recent surge in the development of highly selective probes, fluorescence microscopy has become one of the most widely used approaches to studying cellular properties and signaling in living cells and tissues. Traditionally, microscopy image ...
An overview on olfaction in the biological, analytical, computational, and machine learning fields.
Archiv der Pharmazie
Oct 22, 2024
Recently, the comprehension of odor perception has advanced, unveiling the mysteries of the molecular receptors within the nasal passages and the intricate mechanisms governing signal transmission between these receptors, the olfactory bulb, and the ...
Unmasking Neuroendocrine Prostate Cancer with a Machine Learning-Driven Seven-Gene Stemness Signature That Predicts Progression.
International journal of molecular sciences
Oct 22, 2024
Prostate cancer (PCa) poses a significant global health challenge, particularly due to its progression into aggressive forms like neuroendocrine prostate cancer (NEPC). This study developed and validated a stemness-associated gene signature using adv...
Enhancing amide proton transfer imaging in ischemic stroke using a machine learning approach with partially synthetic data.
NMR in biomedicine
Oct 21, 2024
Amide proton transfer (APT) imaging, a technique sensitive to tissue pH, holds promise in the diagnosis of ischemic stroke. Achieving accurate and rapid APT imaging is crucial for this application. However, conventional APT quantification methods eit...
Derivation of marine water quality criteria for copper based on artificial neural network model.
Environmental pollution (Barking, Essex : 1987)
Oct 21, 2024
The water chemical effects of copper have been a focus in the study of water quality criteria (WQC). Currently, multiple regression models are commonly used to quantitatively describe the impact of environmental factors on Cu toxicity in WQC studies....
Identification and validation of efferocytosis-related biomarkers for the diagnosis of metabolic dysfunction-associated steatohepatitis based on bioinformatics analysis and machine learning.
Frontiers in immunology
Oct 21, 2024
BACKGROUND: Metabolic dysfunction-associated steatohepatitis (MASH) is a highly prevalent liver disease globally, with a significant risk of progressing to cirrhosis and even liver cancer. Efferocytosis, a process implicated in a broad spectrum of ch...
An integrated three-stream network model for discriminating fish feeding intensity using multi-feature analysis and deep learning.
PloS one
Oct 21, 2024
Feed costs constitute a significant part of the expenses in the aquaculture industry. However, feeding practices in fish farming often rely on the breeder's experience, leading to feed wastage and environmental pollution. To achieve precision in feed...
A machine-learning algorithm to grade heart murmurs and stage preclinical myxomatous mitral valve disease in dogs.
Journal of veterinary internal medicine
Oct 21, 2024
BACKGROUND: The presence and intensity of heart murmurs are sensitive indicators of several cardiac diseases in dogs, particularly myxomatous mitral valve disease (MMVD), but accurate interpretation requires substantial clinical expertise.
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