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Showing 2332-2352 of 15,297 articles

Plant and marine-derived natural products: sustainable pathways for future drug discovery and therapeutic development.

Plant- and marine-derived natural products are rich sources of bioactive compounds essential for dru...

Jan 2025 PMID: 39834812

BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches.

BACKGROUND: Cancer rates are rising rapidly, causing global mortality. According to the World Health...

Jan 2025 PMID: 39834551

A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx.

"PolynetDWTCADx" is a sophisticated hybrid model that was developed to identify and distinguish colo...

Jan 2025 PMID: 39757273

Explainable PET-Based Habitat and Peritumoral Machine Learning Model for Predicting Progression-free Survival in Clinical Stage IA Pure-Solid Non-small Cell Lung Cancer: A Two-center Study.

RATIONALE AND OBJECTIVES: This study aimed to develop and validate machine learning (ML) models util...

Jan 2025 PMID: 39757063

Automated ultrasonography of hepatocellular carcinoma using discrete wavelet transform based deep-learning neural network.

This study introduces HCC-Net, a novel wavelet-based approach for the accurate diagnosis of hepatoce...

Jan 2025 PMID: 39818008

Dual-path neural network extracts tumor microenvironment information from whole slide images to predict molecular typing and prognosis of Glioma.

BACKGROUND AND OBJECTIVE: Utilizing AI to mine tumor microenvironment information in whole slide ima...

Jan 2025 PMID: 39809091

Neural Network and Logistic Regression Models Based on Ultrasound Radiomics and Clinical-Pathological Features to Predict Occult Level II Lymph Node Metastasis in Papillary Thyroid Carcinoma.

RATIONALE AND OBJECTIVES: Papillary thyroid carcinoma (PTC) often metastasizes to lateral cervical l...

Jan 2025 PMID: 39757064

mCNN-glucose: Identifying families of glucose transporters using a deep convolutional neural network based on multiple-scanning windows.

Glucose transporters are essential carrier proteins that function on the phospholipid bilayer to fac...

Jan 2025 PMID: 39761890

Integrating artificial intelligence with endoscopic ultrasound in the early detection of bilio-pancreatic lesions: Current advances and future prospects.

The integration of Artificial Intelligence (AI) in endoscopic ultrasound (EUS) represents a transfor...

Jan 2025 PMID: 40210329

Unsupervised self-organising map classification of Raman spectra from prostate cell lines uncovers substratified prostate cancer disease states.

Prostate cancer is a disease which poses an interesting clinical question: Should it be treated? Onl...

Jan 2025 PMID: 39755726

Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations.

Randomized controlled trials (RCTs) evaluating anti-cancer agents often lack generalizability to rea...

Jan 2025 PMID: 39753967

Machine learning based identification of an amino acid metabolism related signature for predicting prognosis and immune microenvironment in pancreatic cancer.

BACKGROUND: Pancreatic cancer is a highly aggressive neoplasm characterized by poor diagnosis. Amino...

Jan 2025 PMID: 39754071

Explainable Machine Learning to Predict Treatment Response in Advanced Non-Small Cell Lung Cancer.

PURPOSE: Immune checkpoint inhibitors (ICIs) have demonstrated promise in the treatment of various c...

Jan 2025 PMID: 39752605

Automated CAD system for early detection and classification of pancreatic cancer using deep learning model.

Accurate diagnosis of pancreatic cancer using CT scan images is critical for early detection and tre...

Jan 2025 PMID: 39752442

Unveiling key drivers of hepatocellular carcinoma: a synergistic approach with network pharmacology, machine learning-driven ligand discovery and dynamic simulations.

Hepatocellular carcinoma (HCC) ranks fourth in cancer-related mortality worldwide. This study aims t...

Jan 2025 PMID: 39750056

Prediction of early postoperative recurrence of hepatocellular carcinoma by habitat analysis based on different sequence of contrast-enhanced CT.

AIM: To develop a habitat imaging method for preoperative prediction of early postoperative recurren...

Jan 2025 PMID: 39830646

Malignancy risk stratification for pulmonary nodules: comparing a deep learning approach to multiparametric statistical models in different disease groups.

OBJECTIVES: Incidentally detected pulmonary nodules present a challenge in clinical routine with dem...

Jan 2025 PMID: 39747589

Browse Categories

Plant and marine-derived natural products: sustainable pathways for future drug discovery and therapeutic development.

BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches.

A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx.

Explainable PET-Based Habitat and Peritumoral Machine Learning Model for Predicting Progression-free Survival in Clinical Stage IA Pure-Solid Non-small Cell Lung Cancer: A Two-center Study.

Automated ultrasonography of hepatocellular carcinoma using discrete wavelet transform based deep-learning neural network.

Dual-path neural network extracts tumor microenvironment information from whole slide images to predict molecular typing and prognosis of Glioma.

Neural Network and Logistic Regression Models Based on Ultrasound Radiomics and Clinical-Pathological Features to Predict Occult Level II Lymph Node Metastasis in Papillary Thyroid Carcinoma.

mCNN-glucose: Identifying families of glucose transporters using a deep convolutional neural network based on multiple-scanning windows.

Integrating artificial intelligence with endoscopic ultrasound in the early detection of bilio-pancreatic lesions: Current advances and future prospects.

Unsupervised self-organising map classification of Raman spectra from prostate cell lines uncovers substratified prostate cancer disease states.

Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations.

Machine learning based identification of an amino acid metabolism related signature for predicting prognosis and immune microenvironment in pancreatic cancer.

Explainable Machine Learning to Predict Treatment Response in Advanced Non-Small Cell Lung Cancer.

Automated CAD system for early detection and classification of pancreatic cancer using deep learning model.

Unveiling key drivers of hepatocellular carcinoma: a synergistic approach with network pharmacology, machine learning-driven ligand discovery and dynamic simulations.

Prediction of early postoperative recurrence of hepatocellular carcinoma by habitat analysis based on different sequence of contrast-enhanced CT.

Malignancy risk stratification for pulmonary nodules: comparing a deep learning approach to multiparametric statistical models in different disease groups.

Radiomics and Deep Learning Model for Benign and Malignant Soft Tissue Tumors Differentiation of Extremities and Trunk.

Attention-guided CenterNet deep learning approach for lung cancer detection.

Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets.

Diagnosis of lymph node metastasis in oral squamous cell carcinoma by an MRI-based deep learning model.

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