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Showing 778-798 of 11,294 articles

DDI-MMAF: Multi-modal affine fusion of visual and semantic representations for anticancer drug synergy prediction.

Predicting anticancer drug synergy is pivotal for personalizing combination therapies; however, exis...

Jul 2026 42447831

Deep learning-empowered Raman spectroscopy for gastric cancer diagnosis: a review of data pipelines and algorithms.

Raman spectroscopy is emerging as a label-free tool for gastric cancer diagnosis by capturing molecu...

(1)

Jul 2026 42439080

Label-Free Prediction of EGFR Mutation Status Using Fluorescence Lifetime Imaging and Deep Learning in Lung Adenocarcinoma.

UNLABELLED: Accurate prediction of epidermal growth factor receptor (EGFR) mutations is essential fo...

(1)

Jul 2026 42439806

Machine learning modeling to predict HCC locations in cirrhotic patients undergoing MRI - a proof-of-concept study.

PURPOSE: Current hepatocellular carcinoma (HCC) surveillance guidelines rely on manually defined LI-...

Jul 2026 42440113

A machine learning-guided epithelial plasticity score refines prognostication and immune-context stratification in muscle-invasive bladder cancer.

PURPOSE: Muscle-invasive bladder cancer (MIBC) remains biologically heterogeneous, and clinicopathol...

Jul 2026 42440183

Activated Cancer-Associated Fibroblasts Are Associated with Immunosuppression and Poor Prognosis in Clear Cell Renal Cell Carcinoma.

INTRODUCTION: Clear cell renal cell carcinoma (ccRCC) exhibits substantial heterogeneity within its ...

(1)

Jul 2026 42441534

An advanced AI-driven deep learning framework for early detection and precise diagnosis of breast cancer from medical images.

A malignant disorder known as breast cancer (BC) arises when cells in breast tissue grow out of cont...

Jul 2026 42442269

Serum metabolomics profiling in head and neck squamous cell carcinoma: a multicentre diagnostic study.

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is frequently diagnosed at advanced stages...

Jul 2026 42442328

Machine Learning for Predicting Ki-67 Expression in Renal Tumors: A Systematic Review And Meta-Analysis.

RATIONALE AND OBJECTIVES: To systematically evaluate the diagnostic performance of machine learning ...

Jul 2026 42443009

Novel application of attention-enhanced hybrid efficient net for multi-scale histopathological cancer classification.

Examination of high-resolution whole-slide images requires an analysis of the histopathological imag...

Jul 2026 42443364

A Multimodal, Multitask Prediction Framework for Diagnosis and Prognosis of Clear Cell Renal Cell Carcinoma.

The purpose of this study is to develop and validate a multimodal, multitask prediction framework fo...

Jul 2026 42443645

Tissue-Preserving Artifact Quality Control for Whole-Slide Computational Pathology.

Reliable whole-slide imaging (WSI) analysis depends on diagnostic models, but it also depends on ima...

Jul 2026 42443653

Deep learning single-cell analysis for cytologic evaluation of oral potentially malignant disorders.

Oral potentially malignant disorders (OPMDs) such as leukoplakia and erythroplakia may harbor dyspla...

Jul 2026 42437755

Reframing Response in Neoadjuvant Chemotherapy for Ovarian Cancer: Integrating Molecular and Functional Biomarkers.

BACKGROUND: Neoadjuvant chemotherapy (NACT) is an established treatment strategy for advanced epithe...

(1)

Jul 2026 42437630

AFMap-UNet enables accurate nuclear segmentation of atomic force microscopy images with minimal training data.

Nuclear mechanical properties influence transcription and cell signaling. Atomic Force Microscopy (A...

(2)

Jul 2026 42437771

Machine learning and multi-omic empowered risk stratification and therapeutic framework targeting nucleotide metabolism and mast cell for stomach adenocarcinoma patients.

BACKGROUND: Mast cell and nucleotide metabolism(NM) encodes the Stomach adenocarcinoma (STAD) progre...

Jul 2026 42437844

Jul 2026 42436373

Deep learning-based classification of gh-secreting pituitary neuroendocrine tumors granulation patterns using H&E-stained histopathology.

Accurate classification of granulation patterns in growth hormone-secreting pituitary neuroendocrine...

Jul 2026 42436482

Browse Categories

DDI-MMAF: Multi-modal affine fusion of visual and semantic representations for anticancer drug synergy prediction.

Deep learning-empowered Raman spectroscopy for gastric cancer diagnosis: a review of data pipelines and algorithms.

Label-Free Prediction of EGFR Mutation Status Using Fluorescence Lifetime Imaging and Deep Learning in Lung Adenocarcinoma.

Machine learning modeling to predict HCC locations in cirrhotic patients undergoing MRI - a proof-of-concept study.

A machine learning-guided epithelial plasticity score refines prognostication and immune-context stratification in muscle-invasive bladder cancer.

Activated Cancer-Associated Fibroblasts Are Associated with Immunosuppression and Poor Prognosis in Clear Cell Renal Cell Carcinoma.

An advanced AI-driven deep learning framework for early detection and precise diagnosis of breast cancer from medical images.

Serum metabolomics profiling in head and neck squamous cell carcinoma: a multicentre diagnostic study.

Machine Learning for Predicting Ki-67 Expression in Renal Tumors: A Systematic Review And Meta-Analysis.

Novel application of attention-enhanced hybrid efficient net for multi-scale histopathological cancer classification.

A Multimodal, Multitask Prediction Framework for Diagnosis and Prognosis of Clear Cell Renal Cell Carcinoma.

Tissue-Preserving Artifact Quality Control for Whole-Slide Computational Pathology.

Deep learning single-cell analysis for cytologic evaluation of oral potentially malignant disorders.

Reframing Response in Neoadjuvant Chemotherapy for Ovarian Cancer: Integrating Molecular and Functional Biomarkers.

AFMap-UNet enables accurate nuclear segmentation of atomic force microscopy images with minimal training data.

Machine learning and multi-omic empowered risk stratification and therapeutic framework targeting nucleotide metabolism and mast cell for stomach adenocarcinoma patients.

Specimen quality shapes the actionable genomic landscape in comprehensive cancer genomic profiling.

A simulated dataset and evaluation framework for assessing AI detection limits in digital holographic microscopy.

Geometric-aware deep learning for deciphering tissue structure from spatially resolved transcriptomics.

A novel attention mechanism for noise-adaptive and robust segmentation of microtubules in microscopy images.

Deep learning-based classification of gh-secreting pituitary neuroendocrine tumors granulation patterns using H&E-stained histopathology.

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