Oncology/Hematology

Latest AI and machine learning research in oncology/hematology for healthcare professionals.

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Showing 1891-1911 of 15,280 articles
Resveratrol in animal models of pancreatitis and pancreatic cancer: A systematic review with machine learning.

BACKGROUND: Resveratrol (RES), a common type of plant polyphenols, has demonstrated promising therap...

AI for image quality and patient safety in CT and MRI.

Substantial endeavors have been recently dedicated to developing artificial intelligence (AI) soluti...

MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging.

Accurate staging of liver fibrosis from magnetic resonance imaging (MRI) is crucial in clinical prac...

From text to insight: A natural language processing-based analysis of burst and research trends in HER2-low breast cancer patients.

With the intensification of population aging, the proportion of elderly breast cancer patients is co...

Multimodal Artificial Intelligence-Based Virtual Biopsy for Diagnosing Abdominal Lavage Cytology-Positive Gastric Cancer.

Gastric cancer with peritoneal dissemination remains a significant clinical challenge due to its poo...

Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts.

BACKGROUND/OBJECTIVE: Longitudinal in vivo studies of murine xenograft models are widely utilized in...

Optimizing thermal dose prediction in nanoparticle-mediated photothermal therapy using a convolutional neural network-based model.

Nanoparticle-mediated photothermal therapy (NMPTT) is an up-and-coming targeted cancer treatment. He...

Raman spectroscopy for colorectal tumor margin assessment: A promising tool for real-time surgical delimitation.

Raman spectroscopy is a promising non-invasive technique not only for the rapid and accurate detecti...

Explainable AI-driven prediction of APE1 inhibitors: enhancing cancer therapy with machine learning models and feature importance analysis.

The viability of cells and the integrity of the genome depend on the detection and repair of damaged...

Inhibition of CDC27 O-GlcNAcylation coordinates the antitumor efficacy in multiple myeloma through the autophagy-lysosome pathway.

Multiple myeloma (MM) is a prevalent hematologic malignancy characterized by abnormal proliferation ...

Multi-cancer early detection based on serum surface-enhanced Raman spectroscopy with deep learning: a large-scale case-control study.

BACKGROUND: Early detection of cancer can help patients with more effective treatments and result in...

Deep learning models for differentiating three sinonasal malignancies using multi-sequence MRI.

PURPOSE: To develop MRI-based deep learning (DL) models for distinguishing sinonasal squamous cell c...

Externally validated and clinically useful machine learning algorithms to support patient-related decision-making in oncology: a scoping review.

BACKGROUND: This scoping review systematically maps externally validated machine learning (ML)-based...

Explainable label guided lightweight network with axial transformer encoder for early detection of oral cancer.

Oral cavity cancer exhibits high morbidity and mortality rates. Therefore, it is essential to diagno...

Plasma Cytokine and Chemokine Profiles Predict Efficacy and Toxicity of Anti-CD19 CAR-T Cell Therapy in Large B-Cell Lymphoma.

BACKGROUND: Anti-CD19 chimeric antigen receptor T-cell (CAR-T) therapy has emerged as a promising tr...

Biomarkers, omics and artificial intelligence for early detection of pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) is frequently diagnosed in its late stages when treatment op...

Predicting hepatocellular carcinoma survival with artificial intelligence.

Despite the extensive research on hepatocellular carcinoma (HCC) exploring various treatment strateg...

A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification.

Skin cancer is widespread and can be potentially fatal. According to the World Health Organisation (...

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