AIMC Journal:
Scientific reports

Showing 851 to 860 of 5361 articles

Super-resolution mapping of anisotropic tissue structure with diffusion MRI and deep learning.

Scientific reports Feb 24, 2025
Diffusion magnetic resonance imaging (diffusion MRI) is widely employed to probe the diffusive motion of water molecules within the tissue. Numerous diseases and processes affecting the central nervous system can be detected and monitored via diffusi...
White Matter Anisotropy Connectome Diffusion Magnetic Resonance Imaging Brain Diffusion Tensor Imaging Humans Algorithms Deep Learning Image Processing, Computer-Assisted
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Validation of a machine learning model for indirect screening of suicidal ideation in the general population.

Scientific reports Feb 24, 2025
Suicide is among the leading causes of death worldwide and a concerning public health problem, accounting for over 700,000 registered deaths worldwide. However, suicide deaths are preventable with timely and evidence-based interventions, which are of...
Female Aged Young Adult Mass Screening Machine Learning COVID-19 Suicidal Ideation Surveys and Questionnaires Suicide Adolescent Suicide Prevention Adult Male Middle Aged Humans
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An assessment of machine learning methods to quantify blood lactate from neutrophils phagocytic activity.

Scientific reports Feb 24, 2025
Phagocytosis is a critical component of innate immunity that helps the body defend itself against infection, foreign particles, and cellular debris. Investigating and quantifying phagocytosis can help understand how the immune system identifies forei...
Phagocytosis Humans Biomarkers Lactic Acid Machine Learning Female Male Adult Middle Aged Neutrophils
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Wide-field OCT volumetric segmentation using semi-supervised CNN and transformer integration.

Scientific reports Feb 24, 2025
Wide-field optical coherence tomography (OCT) imaging can enable monitoring of peripheral changes in the retina, beyond the conventional fields of view used in current clinical OCT imaging systems. However, wide-field scans can present significant ch...
Image Processing, Computer-Assisted Tomography, Optical Coherence Neural Networks, Computer Retina Humans Algorithms Deep Learning
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An accurate and fast learning approach in the biologically spiking neural network.

Scientific reports Feb 24, 2025
Computations adapted from the interactions of neurons in the nervous system have the potential to be a strong foundation for building computers with cognitive functions including decision-making, generalization, and real-time learning. In this contex...
Nerve Net Pyramidal Cells Models, Neurological Action Potentials Neurons Algorithms Learning Humans Neural Networks, Computer Machine Learning
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An enhanced denoising system for mammogram images using deep transformer model with fusion of local and global features.

Scientific reports Feb 24, 2025
Image denoising is a critical problem in low-level computer vision, where the aim is to reconstruct a clean, noise-free image from a noisy input, such as a mammogram image. In recent years, deep learning, particularly convolutional neural networks (C...
Mammography Signal-To-Noise Ratio Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Female
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Development of the autonomous lab system to support biotechnology research.

Scientific reports Feb 24, 2025
In this study, we developed the autonomous lab (ANL), which is a system based on robotics and artificial intelligence (AI) to conduct biotechnology experiments and formulate scientific hypotheses. This system was designed with modular devices and Bay...
Artificial Intelligence Bayes Theorem Biotechnology Glutamic Acid Algorithms Escherichia coli Robotics
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Deep structured learning with vision intelligence for oral carcinoma lesion segmentation and classification using medical imaging.

Scientific reports Feb 24, 2025
Oral carcinoma (OC) is a toxic illness among the most general malignant cancers globally, and it has developed a gradually significant public health concern in emerging and low-to-middle-income states. Late diagnosis, high incidence, and inadequate t...
Deep Learning Humans Image Processing, Computer-Assisted Machine Learning Mouth Neoplasms
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Machine learning selection of basement membrane-associated genes and development of a predictive model for kidney fibrosis.

Scientific reports Feb 24, 2025
This study investigates the role of basement membrane-related genes in kidney fibrosis, a significant factor in the progression of chronic kidney disease that can lead to end-stage renal failure. The authors aim to develop a predictive model using ma...
Basement Membrane Humans Machine Learning Gene Expression Profiling Kidney Fibrosis STAT1 Transcription Factor
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Identification of UBE2N as a biomarker of Alzheimer's disease by combining WGCNA with machine learning algorithms.

Scientific reports Feb 22, 2025
Alzheimer's disease (AD) is the most common cause of dementia, emphasizing the critical need for the development of biomarkers that facilitate accurate and objective assessment of disease progression for early detection and intervention to delay its ...
Algorithms Biomarkers Animals Humans Machine Learning Alzheimer Disease Gene Expression Profiling Gene Regulatory Networks Mice Hippocampus Ubiquitin-Conjugating Enzymes
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