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Showing 1618-1638 of 15,250 articles

Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection.

The Guided Imagery technique is reported to be used by therapists all over the world in order to inc...

Mar 2025 PMID: 40140460

Deep learning techniques for proton dose prediction across multiple anatomical sites and variable beam configurations.

To evaluate the impact of beam mask implementation and data aggregation on artificial intelligence-b...

Mar 2025 PMID: 40101365

Predicting quality of life of patients after treatment for spinal metastatic disease: development and internal evaluation.

BACKGROUND CONTEXT: When treating spinal metastases in a palliative setting, maintaining or enhancin...

Mar 2025 PMID: 40154635

Discovery and characterization of novel FAK inhibitors for breast cancer therapy via hybrid virtual screening, biological evaluation and molecular dynamics simulations.

Focal adhesion kinase (FAK) is a critical drug target implicated in various disease pathways, includ...

Mar 2025 PMID: 40163988

Artificial intelligence-based virtual staining platform for identifying tumor-associated macrophages from hematoxylin and eosin-stained images.

BACKGROUND: Virtual staining is an artificial intelligence-based approach that transforms pathology ...

Mar 2025 PMID: 40158294

Breast cancer detection and classification: A study on the specification and implementation of multilayer perceptron analog artificial neural networks.

Breast cancer is a leading cause of mortality worldwide. Screening therefore remains the best defens...

Mar 2025 PMID: 40147189

SGCLMD: Signed graph-based contrastive learning model for predicting somatic mutation-drug association.

Somatic mutations could influence critical cellular processes, leading to uncontrolled cell growth a...

Mar 2025 PMID: 40147185

Machine learning-based prognostic model for bloodstream infections in hematological malignancies using Th1/Th2 cytokines.

OBJECTIVE: Bloodstream infection (BSI) is a significant cause of mortality in patients with hematolo...

Mar 2025 PMID: 40140749

Automated segmentation of brain metastases in T1-weighted contrast-enhanced MR images pre and post stereotactic radiosurgery.

BACKGROUND AND PURPOSE: Accurate segmentation of brain metastases on Magnetic Resonance Imaging (MRI...

Mar 2025 PMID: 40140740

Multimodal multi-instance evidence fusion neural networks for cancer survival prediction.

Accurate cancer survival prediction plays a crucial role in assisting clinicians in formulating trea...

Mar 2025 PMID: 40140434

Feature Selection in Breast Cancer Gene Expression Data Using KAO and AOA with SVM Classification.

Breast cancer classification using gene expression data presents significant challenges due to high ...

Mar 2025 PMID: 40140121

Explainable AI-based feature importance analysis for ovarian cancer classification with ensemble methods.

INTRODUCTION: Ovarian Cancer (OC) is one of the leading causes of cancer deaths among women. Despite...

Mar 2025 PMID: 40206169

Biomarkers in prostate cancer: current status and future directions in radiotherapy-statement from the Prostate Cancer Working Group of the German Society of Radiation Oncology (DEGRO).

PURPOSE: Prostate cancer (PCa) is the most frequently diagnosed malignancy among men in Germany. Adv...

Mar 2025 PMID: 40131411

Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohort.

PURPOSE: Information on deep learning (DL) tumor segmentation accuracy on a voxel and a structure le...

Mar 2025 PMID: 40174371

Preoperative Prediction of STAS Risk in Primary Lung Adenocarcinoma Using Machine Learning: An Interpretable Model with SHAP Analysis.

BACKGROUND: Accurate preoperative prediction of spread through air spaces (STAS) in primary lung ade...

Mar 2025 PMID: 40140276

Identification of CACNB1 protein as an actionable therapeutic target for hepatocellular carcinoma via metabolic dysfunction analysis in liver diseases: An integrated bioinformatics and machine learning approach for precise therapy.

In addition to histological evaluation for nonalcoholic fatty liver disease (NAFLD), a comprehensive...

Mar 2025 PMID: 40139615

Proposed Comprehensive Methodology Integrated with Explainable Artificial Intelligence for Prediction of Possible Biomarkers in Metabolomics Panel of Plasma Samples for Breast Cancer Detection.

: Breast cancer (BC) is the most common type of cancer in women, accounting for more than 30% of new...

Mar 2025 PMID: 40282875

Machine learning models for prediction of lymph node metastasis in patients with gastric cancer: a Chinese single-centre study with external validation in an Asian American population.

OBJECTIVE: To develop and validate machine learning (ML)-based models to predict lymph node metastas...

Mar 2025 PMID: 40132850

Browse Categories

Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection.

Deep learning techniques for proton dose prediction across multiple anatomical sites and variable beam configurations.

Predicting quality of life of patients after treatment for spinal metastatic disease: development and internal evaluation.

Discovery and characterization of novel FAK inhibitors for breast cancer therapy via hybrid virtual screening, biological evaluation and molecular dynamics simulations.

Artificial intelligence-based virtual staining platform for identifying tumor-associated macrophages from hematoxylin and eosin-stained images.

Breast cancer detection and classification: A study on the specification and implementation of multilayer perceptron analog artificial neural networks.

SGCLMD: Signed graph-based contrastive learning model for predicting somatic mutation-drug association.

Machine learning-based prognostic model for bloodstream infections in hematological malignancies using Th1/Th2 cytokines.

Automated segmentation of brain metastases in T1-weighted contrast-enhanced MR images pre and post stereotactic radiosurgery.

Multimodal multi-instance evidence fusion neural networks for cancer survival prediction.

Feature Selection in Breast Cancer Gene Expression Data Using KAO and AOA with SVM Classification.

Explainable AI-based feature importance analysis for ovarian cancer classification with ensemble methods.

Biomarkers in prostate cancer: current status and future directions in radiotherapy-statement from the Prostate Cancer Working Group of the German Society of Radiation Oncology (DEGRO).

Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohort.

Preoperative Prediction of STAS Risk in Primary Lung Adenocarcinoma Using Machine Learning: An Interpretable Model with SHAP Analysis.

Identification of CACNB1 protein as an actionable therapeutic target for hepatocellular carcinoma via metabolic dysfunction analysis in liver diseases: An integrated bioinformatics and machine learning approach for precise therapy.

Proposed Comprehensive Methodology Integrated with Explainable Artificial Intelligence for Prediction of Possible Biomarkers in Metabolomics Panel of Plasma Samples for Breast Cancer Detection.

Convolutional Neural Network Models for Visual Classification of Pressure Ulcer Stages: Cross-Sectional Study.

Assessing the accuracy of the GPT-4 model in multidisciplinary tumor board decision prediction.

Multi-center study: ultrasound-based deep learning features for predicting Ki-67 expression in breast cancer.

Machine learning models for prediction of lymph node metastasis in patients with gastric cancer: a Chinese single-centre study with external validation in an Asian American population.

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