AIMC Topic: Deep Learning

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ReaGP: integrating residual units and attention mechanisms in convolution neural network for genomic prediction.

Genetics, selection, evolution : GSE Jan 13, 2026
BACKGROUND: Various methods have been widely utilized to estimate the genomic breeding values (GEBVs) for genomic prediction. Traditional approaches often relied on the assumption of linear regression models, which struggle to effectively capture the...
Models, Genetic Deep Learning Neural Networks, Computer Linear Models Cattle Phenotype Breeding Genomics Animals
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Deep learning-based segmentation and density estimation of corneal nerves and dendritic cells from In Vivo confocal microscopy images.

Scientific reports Jan 13, 2026
The purpose of this study was to compare manual assessment of corneal nerve fiber length (CNFL) and dendritic cell (DC) density with an automated assessment method utilizing deep learning segmentation to perform rule-based density estimation. Corneal...
Middle Aged Deep Learning Dendritic Cells Image Processing, Computer-Assisted Microscopy, Confocal Nerve Fibers Adult Cornea Male SARS-CoV-2 Aged Humans COVID-19 Female
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Improving rectal tumor segmentation with anomaly fusion derived from anatomical inpainting: a multicenter study.

Scientific reports Jan 13, 2026
Accurate rectal tumor segmentation using magnetic resonance imaging (MRI) is paramount for effective treatment planning. It allows for volumetric and other quantitative tumor assessments, potentially aiding in prognostication and treatment response e...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Rectum Humans Male Deep Learning Rectal Neoplasms
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Interpretable deep learning for enhanced multi-class classification of gastrointestinal endoscopic images.

Biomedical physics & engineering express Jan 13, 2026
Gastrointestinal (GI) endoscopy serves as a vital tool for assessing the GI tract and diagnosing related disorders. Recent progress in deep learning has shown significant improvements in identifying anomalies using sophisticated models and data augme...
Algorithms Deep Learning Endoscopy, Gastrointestinal Image Processing, Computer-Assisted Humans Image Interpretation, Computer-Assisted Gastrointestinal Tract
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Computational design of protein complexes: influence of binding affinity.

Chemical communications (Cambridge, England) Jan 13, 2026
The interaction of proteins with diverse molecular partners, including other proteins, nucleic acids, and carbohydrates, is essential for performing various functions, from signal transduction and gene regulation to immune recognition and cellular tr...
Models, Molecular Machine Learning RNA Protein Binding Deep Learning Proteins DNA
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CTA-based deep-learning integrated model for identifying irregular shape and aneurysm size of unruptured intracranial aneurysms.

Journal of neurointerventional surgery Jan 13, 2026
BACKGROUND: Artificial intelligence can help to identify irregular shapes and sizes, crucial for managing unruptured intracranial aneurysms (UIAs). However, existing artificial intelligence tools lack reliable classification of UIA shape irregularity...
Aged Adult Male Computed Tomography Angiography Humans Cerebral Angiography Middle Aged Neural Networks, Computer Intracranial Aneurysm Deep Learning Female Imaging, Three-Dimensional
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A physics-inspired memory-augmented deep learning framework for magnetic core loss prediction.

PloS one Jan 13, 2026
Accurate prediction of magnetic core loss is a key challenge for improving the efficiency and reliability of power electronic systems. Traditional empirical models such as the Steinmetz equation are only applicable to sinusoidal steady-state conditio...
Models, Theoretical Magnetics Algorithms Deep Learning
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RUL prediction method based on sequential health index evaluation with multidimensional coupled degradation data.

PloS one Jan 13, 2026
Remaining Useful Life (RUL) prediction is crucial for implementing predictive maintenance strategies, however, RUL prediction is severely constrained by the lack of high-quality labeled life-cycle data. Moreover, complex coupling relationships exist ...
Humans Quality of Life Deep Learning Neural Networks, Computer Algorithms
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AI-driven peptide discovery for endometrial cancer: deep generative modeling and molecular simulation in the big data era.

Journal of computer-aided molecular design Jan 12, 2026
The integration of artificial intelligence (AI) with molecular modeling offers new opportunities to accelerate therapeutic discovery. In this study, we developed an AI-driven generative pipeline combining deep reinforcement learning (DRL), generative...
Deep Learning Proto-Oncogene Proteins c-akt Humans Molecular Dynamics Simulation Artificial Intelligence beta Catenin Female Molecular Docking Simulation Endometrial Neoplasms Peptides Drug Discovery Estrogen Receptor alpha Antineoplastic Agents
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Bayesian neural networks for genomic prediction: uncertainty quantification and SNP interpretation with SHAP and GWAS.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jan 10, 2026
This study presents a Bayesian neural networks framework with LASSO regularization and the GSMeSP interpretability tool, enabling accurate, uncertainty-aware, and biologically interpretable genomic prediction. Deep learning offers significant potenti...
Genotype Models, Genetic Bayes Theorem Genomics Polymorphism, Single Nucleotide Plant Breeding Neural Networks, Computer Gossypium Genome, Plant Phenotype Uncertainty Deep Learning Genome-Wide Association Study
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