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Subcategories: Sepsis

Showing 3823-3843 of 7,492 articles

Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.

Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently compli...

Dec 2024 PMID: 39656479

Artificial Intelligence-Driven Precision Medicine: Multi-Omics and Spatial Multi-Omics Approaches in Diffuse Large B-Cell Lymphoma (DLBCL).

In this comprehensive review, we delve into the transformative role of artificial intelligence (AI) ...

Nov 2024 PMID: 39735973

Inferring tumor purity using multi-omics data based on a uniform machine learning framework MoTP.

Existing algorithms for assessing tumor purity are limited to a single omics data, such as gene expr...

Nov 2024 PMID: 39950745

A multi-modal fusion model with enhanced feature representation for chronic kidney disease progression prediction.

Artificial intelligence (AI)-based multi-modal fusion algorithms are pivotal in emulating clinical p...

Nov 2024 PMID: 39913621

Multi-view multi-level contrastive graph convolutional network for cancer subtyping on multi-omics data.

Cancer is a highly diverse group of diseases, and each type of cancer can be further divided into va...

Nov 2024 PMID: 39899598

A framework of multi-view machine learning for biological spectral unmixing of fluorophores with overlapping excitation and emission spectra.

The accuracy of assigning fluorophore identity and abundance, known as spectral unmixing, in biologi...

Nov 2024 PMID: 39804144

Dual-stage optimizer for systematic overestimation adjustment applied to multi-objective genetic algorithms for biomarker selection.

The selection of biomarker panels in omics data, challenged by numerous molecular features and limit...

Nov 2024 PMID: 39737563

Automated segmentation of brain metastases with deep learning: A multi-center, randomized crossover, multi-reader evaluation study.

BACKGROUND: Artificial intelligence has been proposed for brain metastasis (BM) segmentation but it ...

Nov 2024 PMID: 38991556

[Bowel Sounds Detection Method Based on ResNet-BiLSTM and Attention Mechanism].

Bowel sounds can reflect the movement and health status of the gastrointestinal tract. However, the ...

Sep 2024 PMID: 39463080

Unveiling the glycolysis in sepsis: Integrated bioinformatics and machine learning analysis identifies crucial roles for IER3, DSC2, and PPARG in disease pathogenesis.

Sepsis, a multifaceted syndrome driven by an imbalanced host response to infection, remains a signif...

Sep 2024 PMID: 39331858

A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology.

Multi-omics data play a crucial role in precision medicine, mainly to understand the diverse biologi...

Sep 2024 PMID: 38600757

Nmix: a hybrid deep learning model for precise prediction of 2'-O-methylation sites based on multi-feature fusion and ensemble learning.

RNA 2'-O-methylation (Nm) is a crucial post-transcriptional modification with significant biological...

Sep 2024 PMID: 39550226

Model ensembling as a tool to form interpretable multi-omic predictors of cancer pharmacosensitivity.

Stratification of patients diagnosed with cancer has become a major goal in personalized oncology. O...

Sep 2024 PMID: 39494610

Deep learning model for protein multi-label subcellular localization and function prediction based on multi-task collaborative training.

The functional study of proteins is a critical task in modern biology, playing a pivotal role in und...

Sep 2024 PMID: 39489606

Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks.

The discovery of diagnostic and therapeutic biomarkers for complex diseases, especially cancer, has ...

Sep 2024 PMID: 39470307

Browse Categories

Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.

Artificial Intelligence-Driven Precision Medicine: Multi-Omics and Spatial Multi-Omics Approaches in Diffuse Large B-Cell Lymphoma (DLBCL).

Inferring tumor purity using multi-omics data based on a uniform machine learning framework MoTP.

A multi-modal fusion model with enhanced feature representation for chronic kidney disease progression prediction.

Multi-view multi-level contrastive graph convolutional network for cancer subtyping on multi-omics data.

A framework of multi-view machine learning for biological spectral unmixing of fluorophores with overlapping excitation and emission spectra.

Dual-stage optimizer for systematic overestimation adjustment applied to multi-objective genetic algorithms for biomarker selection.

Automated segmentation of brain metastases with deep learning: A multi-center, randomized crossover, multi-reader evaluation study.

[Bowel Sounds Detection Method Based on ResNet-BiLSTM and Attention Mechanism].

Unveiling the glycolysis in sepsis: Integrated bioinformatics and machine learning analysis identifies crucial roles for IER3, DSC2, and PPARG in disease pathogenesis.

A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology.

Nmix: a hybrid deep learning model for precise prediction of 2'-O-methylation sites based on multi-feature fusion and ensemble learning.

Model ensembling as a tool to form interpretable multi-omic predictors of cancer pharmacosensitivity.

Deep learning model for protein multi-label subcellular localization and function prediction based on multi-task collaborative training.

Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks.

MSlocPRED: deep transfer learning-based identification of multi-label mRNA subcellular localization.

MolMVC: Enhancing molecular representations for drug-related tasks through multi-view contrastive learning.

Explainable Artificial Intelligence for Early Prediction of Pressure Injury Risk.

A tailored machine learning approach for mortality prediction in severe COVID-19 treated with glucocorticoids.

External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs.

[Detection model of atrial fibrillation based on multi-branch and multi-scale convolutional networks].

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