AIMC Topic: Algorithms

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Single and Multi-Objective Optimization of the Red Pine Mushroom Lactarius deliciosus (Agaricomycetes) Extraction Conditions Using Artificial Intelligence Methods and Biological Activities of Optimized Extracts.

International journal of medicinal mushrooms Jan 1, 2025
In this study, the biological activities of Lactarius deliciosus were determined. Experimental studies were carried out using a soxhlet device, in the range of 40-70°C extraction temperature, 3-9 h extraction time and 0.5-2 mg/ ml extraction conditio...
Basidiomycota Algorithms Cell Line, Tumor Antioxidants Humans Neural Networks, Computer Artificial Intelligence
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Spinal Cord Image Denoising Using Dncnn Algorithm.

Current medical imaging Jan 1, 2025
BACKGROUND: Spinal image denoising plays a vital role in the accurate diagnosis of disc herniation (DH).
Humans Algorithms Spinal Cord Neural Networks, Computer Magnetic Resonance Imaging Intervertebral Disc Displacement Image Interpretation, Computer-Assisted
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Contrastive Neuron Pruning for Backdoor Defense.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 1, 2025
Recent studies have revealed that deep neural networks (DNNs) are susceptible to backdoor attacks, in which attackers insert a pre-defined backdoor into a DNN model by poisoning a few training samples. A small subset of neurons in DNN is responsible ...
Neural Networks, Computer Algorithms Animals Humans Deep Learning Image Processing, Computer-Assisted Neurons
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Intelligent Control to Suppress Epileptic Seizures in the Amygdala: In Silico Investigation Using a Network of Izhikevich Neurons.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 1, 2025
Closed-loop electricalstimulation of brain structures is one of the most promising techniques to suppress epileptic seizures in drug-resistant refractory patients who are also ineligible to ablative neurosurgery. In this work, an intelligent controll...
Neurons Nonlinear Dynamics Nerve Net Amygdala Electroencephalography Epilepsy Seizures Computer Simulation Models, Neurological Action Potentials Humans Neural Networks, Computer Algorithms
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mGNN-bw: Multi-Scale Graph Neural Network Based on Biased Random Walk Path Aggregation for ASD Diagnosis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 1, 2025
In recent years, computationally assisted diagnosis for classifying autism spectrum disorder (ASD) and typically developing (TD) individuals based on neuroimaging data, such as functional magnetic resonance imaging (fMRI), has garnered significant at...
Humans Neural Networks, Computer Magnetic Resonance Imaging Neuroimaging Nerve Net Female Algorithms Male Graph Neural Networks Autism Spectrum Disorder Child Brain
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Optimizing Stroke Detection Using Evidential Networks and Uncertainty-Based Refinement.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 1, 2025
Evaluating neurological impairments post-stroke is essential for assessing treatment efficacy and managing subsequent disabilities. Conventional clinical assessment methods depend largely on clinicians' visual and physical evaluations, resulting in c...
Stroke Rehabilitation Uncertainty Male Middle Aged Deep Learning Stroke Ischemic Attack, Transient Exoskeleton Device Adult Sensitivity and Specificity Biomechanical Phenomena Female Reproducibility of Results Aged Neural Networks, Computer Algorithms Humans
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Improving fMRI-Based Autism Severity Identification via Brain Network Distance and Adaptive Label Distribution Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 1, 2025
Machine learning methodologies have been profoundly researched in the realm of autism spectrum disorder (ASD) diagnosis. Nonetheless, owing to the ambiguity of ASD severity labels and individual differences in ASD severity, current fMRI-based methods...
Neural Networks, Computer Machine Learning Algorithms Humans Male Severity of Illness Index Child Magnetic Resonance Imaging Autism Spectrum Disorder Brain Female Autistic Disorder Nerve Net
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Classifying Mouse RPE Morphometric Heterogeneity Using REShAPE: An AI-Based Image Analysis Tool.

Advances in experimental medicine and biology Jan 1, 2025
Retinal degenerative diseases caused by retinal pigment epithelium (RPE) dysfunction affect specific areas of the retina. Regions of molecular and phenotypic RPE heterogeneity have been described in the human eye and are thought to underlie geographi...
Mice Disease Models, Animal Mice, Inbred C57BL Algorithms Retinal Pigment Epithelium Animals Retinal Degeneration Image Processing, Computer-Assisted Iodates Artificial Intelligence
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[Risk prediction of Reduning Injection batches by near-infrared spectroscopy combined with multiple machine learning algorithms].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica Jan 1, 2025
In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction...
Spectroscopy, Near-Infrared Drugs, Chinese Herbal Quality Control Humans Machine Learning Algorithms
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A Machine Learning Algorithm to Predict Medical Device Recall by the Food and Drug Administration.

The western journal of emergency medicine Jan 1, 2025
INTRODUCTION: Medical device recalls are important to the practice of emergency medicine, as unsafe devices include many ubiquitous items in emergency care, such as vascular access devices, ventilators, infusion pumps, video laryngoscopes, pulse oxim...
Sensitivity and Specificity United States United States Food and Drug Administration Medical Device Recalls Humans Machine Learning Algorithms
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