AIMC Topic: Deep Learning

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Construction of a deep learning model and identification of the pivotal characteristics of FGF7- and MGST1- positive fibroblasts in heart failure post-myocardial infarction.

International journal of biological macromolecules Apr 19, 2025
Dysregulation of fibroblast function is closely associated with the occurrence of heart failure after myocardial infarction (post-MI HF). Myocardial fibrosis is a detrimental consequence of aberrant fibroblast activation and extracellular matrix depo...
Fibroblast Growth Factor 7 Heart Failure Gene Expression Regulation Animals Male Deep Learning Mice Fibroblasts Myocardial Infarction Humans
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Advancing harmful algal bloom predictions using chlorophyll-a as an Indicator: Combining deep learning and EnKF data assimilation method.

Journal of environmental management Apr 19, 2025
The use of data driven deep learning models to predict and monitor Harmful Algal Blooms (HABs) has evolved over the years due to increasing technologies, availability of high frequency data, and statistical prowess. Despite the prowess of these data ...
Harmful Algal Bloom Deep Learning Environmental Monitoring Chlorophyll Chlorophyll A
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EBMGP: a deep learning model for genomic prediction based on Elastic Net feature selection and bidirectional encoder representations from transformer's embedding and multi-head attention pooling.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Apr 19, 2025
Enhancing early selection through genomic estimated breeding values is pivotal for reducing generation intervals and accelerating breeding programs. Recently, deep learning (DL) approaches have gained prominence in genomic prediction (GP). Here, we i...
Deep Learning Polymorphism, Single Nucleotide Genomics Models, Genetic Plant Breeding
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Automated assessment of simulated laparoscopic surgical skill performance using deep learning.

Scientific reports Apr 19, 2025
Artificial intelligence (AI) has the potential to improve healthcare and patient safety and is currently being adopted across various fields of medicine and healthcare. AI and in particular computer vision (CV) are well suited to the analysis of mini...
Deep Learning Clinical Competence Laparoscopy Humans Computer Simulation
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Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images.

Scientific reports Apr 19, 2025
The most dangerous form of cancer is breast cancer. This disease is life-threatening because of its aggressive nature and high death rates. Therefore, early discovery increases the patient's survival. Mammography has recently been recommended as diag...
Thermography Mammography Image Interpretation, Computer-Assisted Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Algorithms Female
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Deep learning unlocks the true potential of organ donation after circulatory death with accurate prediction of time-to-death.

Scientific reports Apr 19, 2025
Increasing the number of organ donations after circulatory death (DCD) has been identified as one of the most important ways of addressing the ongoing organ shortage. While recent technological advances in organ transplantation have increased their s...
Intensive Care Units Female Aged Adult Male Humans Middle Aged Death Neural Networks, Computer Tissue and Organ Procurement Deep Learning Time Factors
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World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography.

Medical image analysis Apr 18, 2025
Deep learning-based medical image segmentation and surface mesh generation typically involve a sequential pipeline from image to segmentation to meshes, often requiring large training datasets while making limited use of prior geometric knowledge. Th...
Humans Neural Networks, Computer Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Algorithms Deep Learning Computed Tomography Angiography Imaging, Three-Dimensional
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Smart contours: deep learning-driven internal gross tumor volume delineation in non-small cell lung cancer using 4D CT maximum and average intensity projections.

Radiation oncology (London, England) Apr 18, 2025
BACKGROUND: Delineating the internal gross tumor volume (IGTV) is crucial for the treatment of non-small cell lung cancer (NSCLC). Deep learning (DL) enables the automation of this process; however, current studies focus mainly on multiple phases of ...
Four-Dimensional Computed Tomography Carcinoma, Non-Small-Cell Lung Radiotherapy Planning, Computer-Assisted Tumor Burden Deep Learning Lung Neoplasms Retrospective Studies Female Aged Humans Aged, 80 and over Male Middle Aged
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GRLGRN: graph representation-based learning to infer gene regulatory networks from single-cell RNA-seq data.

BMC bioinformatics Apr 18, 2025
BACKGROUND: A gene regulatory network (GRN) is a graph-level representation that describes the regulatory relationships between transcription factors and target genes in cells. The reconstruction of GRNs can help investigate cellular dynamics, drug d...
Single-Cell Gene Expression Analysis Computational Biology Sequence Analysis, RNA RNA-Seq Gene Regulatory Networks Humans Machine Learning Algorithms Deep Learning Single-Cell Analysis
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AI analysis for ejection fraction estimation from 12-lead ECG.

Scientific reports Apr 18, 2025
Heart failure (HF) remains a leading global cause of cardiovascular deaths, with its prevalence expected to rise in the upcoming decade. Measuring the heart ejection fraction (EF) is crucial for diagnosing and monitoring HF. Although echocardiography...
Female Male Stroke Volume Humans Machine Learning Algorithms Electrocardiography Heart Failure Middle Aged Deep Learning
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