AIMC Topic: Deep Learning

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Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach.

Scientific reports Jul 4, 2025
Pediatric gastroenteritis is a major reason for sickness and death among children worldwide, especially in places where healthcare and clean sanitation are scarce. Conventional methods of diagnosis overlook possible risks and seasonal trends, which r...
Gastroenteritis ROC Curve Seasons Child, Preschool Child Female Humans Risk Factors Infant Deep Learning Male
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DOLPHIN advances single-cell transcriptomics beyond gene level by leveraging exon and junction reads.

Nature communications Jul 4, 2025
The advent of single-cell sequencing has revolutionized the study of cellular dynamics, providing unprecedented resolution into the molecular states and heterogeneity of individual cells. However, the rich potential of exon-level information and junc...
Humans Gene Expression Profiling Transcriptome Animals Deep Learning Alternative Splicing Single-Cell Analysis Exons
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MIC: A deep learning tool for assigning ions and waters in cryo-EM and crystal structures.

Nature communications Jul 4, 2025
At sufficiently high resolution, x-ray crystallography and cryogenic electron microscopy are capable of resolving small spherical map features corresponding to either water or ions. Correct classification of these sites provides crucial insight for u...
Cryoelectron Microscopy Water Proteins Deep Learning Ions Crystallography, X-Ray Models, Molecular
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Utility of synthetic musculoskeletal gaits for generalizable healthcare applications.

Nature communications Jul 4, 2025
Deep-neural-network-based artificial intelligence enables quantitative gait analysis with commodity sensors. However, current gait-analysis models are usually specialized for specific clinical populations and sensor settings due to the limited size a...
Female Male Gait Gait Analysis Deep Learning Neural Networks, Computer Artificial Intelligence Humans
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iACP-DPNet: a dual-pooling causal dilated convolutional network for interpretable anticancer peptide identification.

Functional & integrative genomics Jul 4, 2025
Anticancer peptides (ACPs) are acknowledged for their potential in cancer therapy, attributed to their safety, low side effects, and high target specificity. However, the discovery of ACPs is slowed by the high cost and labor-intensive nature of expe...
Antineoplastic Agents Deep Learning Computational Biology Humans Peptides
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Automatically predicting lung tumor invasiveness using deep neural networks.

Medical engineering & physics Jul 3, 2025
Early lung cancer invasive detection is important for further treatment and saving lives. In clinical practice, lung tumor invasiveness (LTI) detection is very challenging, imaging-based automatic prediction algorithms offer a non-invasive approach. ...
Tomography, X-Ray Computed Female Male Automation Lung Neoplasms Humans Neoplasm Invasiveness Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted
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Deep neural hashing for content-based medical image retrieval: A survey.

Computers in biology and medicine Jul 3, 2025
The ever-growing digital repositories of medical data provide opportunities for advanced healthcare by forming a foundation for a digital healthcare ecosystem. Such an ecosystem facilitates digitized solutions to aspects like early diagnosis, evidenc...
Diagnostic Imaging Humans Information Storage and Retrieval Deep Learning Surveys and Questionnaires Neural Networks, Computer
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Self-supervised deep metric learning for prototypical zero-shot lesion retrieval in placenta whole-slide images.

Computers in biology and medicine Jul 3, 2025
Postnatal adverse outcomes can often be explained and predicted by the pathological evaluation of the placenta after a pregnancy. However, placenta whole-slide image (WSI) analysis is not performed systematically due to the specialized skills require...
Humans Pregnancy Female Placenta Supervised Machine Learning Deep Learning Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted
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Deep learning-driven insights into the transmission dynamics of hepatitis B virus with treatment.

Scientific reports Jul 3, 2025
Viral infections have spread globally, profoundly affecting social and economic aspects of life and causing widespread suffering. Infection caused by the hepatitis B virus (HBV) is one of the significant global health challenges but can be effectivel...
Hepatitis B virus Hepatitis B Computer Simulation Humans Deep Learning Neural Networks, Computer
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Multiclass leukemia cell classification using hybrid deep learning and machine learning with CNN-based feature extraction.

Scientific reports Jul 3, 2025
Leukemia is the most prevalent form of blood cancer, affecting individuals across all age groups. Early and accurate diagnosis is crucial for effective treatment and improved clinical outcomes. Peripheral blood smear analysis, a key non-invasive diag...
Precursor Cell Lymphoblastic Leukemia-Lymphoma Leukemia Neural Networks, Computer Deep Learning Machine Learning Support Vector Machine Humans
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