Oncology/Hematology

Assessing Readability of Skin Cancer Screening Resources: A Comparison of Online Websites and ChatGPT Responses.

Effective communication is essential for promoting appropriate skin cancer screening for the public....

A manganese metabolism-related gene signature stratifies prognosis and immunotherapy efficacy in kidney cancer.

BACKGROUND: Manganese modulates tumorigenesis and immune regulation. High levels of manganese may pr...

Identification of key biomarkers and potential therapeutic drugs in nasopharyngeal carcinoma based on comprehensive bioinformatics analysis.

Nasopharyngeal carcinoma (NPC) is the most prevalent type of head- and -neck cancer, and its diagnos...

Harnessing artificial intelligence for detection of pancreatic cancer: a machine learning approach.

PURPOSE: Pancreatic cancer (PC) is one of the most lethal malignancies, often presenting with nonspe...

Rhaponticin inhibits the proliferation, migration, and invasion of head and neck squamous cell carcinoma (HNSCC) cells through modulation of the IL6/STAT3 signaling pathway.

BACKGROUND: Rhaponticin, a bioactive compound derived from rhubarb, has been demonstrated anti-tumor...

Therapeutic horizons in metabolic dysfunction-associated steatohepatitis.

Metabolic dysfunction-associated steatohepatitis (MASH), the progressive inflammatory form of MASLD,...

Comment on "Deep Learning for Staging Periodontitis Using Panoramic Radiographs".

Driving Multifunctional Nanomedicine Design for Non-Inflammatory Tumor Therapy with Integrated Machine Learning and Density Functional Theory.

Due to the promotive role of inflammation in tumor progression, designing multifunctional nanomedici...

Treatment Response Evaluation in Prostate Cancer Using PSMA PET/CT.

In recent years, there has been a headlong rush into the use of prostate-specific membrane antigen (...

Taking the Guess Work Out of Endoscopic Polyp Measurement: From Traditional Methods to AI.

Colonoscopy is a crucial tool for evaluating lower gastrointestinal disease, monitoring high-risk pa...

Simple and Rapid Tumor EV Enrichment Enabled by Long DNA Probe-Guided Entanglement.

Specific subpopulations of extracellular vesicles (EVs) hold significant clinical potential for biom...

Thoracic staging of lung cancers by FDG-PET/CT: impact of artificial intelligence on the detection of associated pulmonary nodules.

This study focuses on automating the classification of certain thoracic lung cancer stages in 3D FDG...

Establishment of a machine learning-based predictive model with dual-center external validation: investigating the role of robotic surgery in preventing delayed gastric emptying for right-sided colon cancer.

After colorectal surgery, delayed gastric emptying (DGE) is a clinically significant postoperative c...

MRI's evolving role in rectal cancer in the era of personalized medicine.

Recent decades have seen great advances in the diagnosis and management of rectal cancer, and magnet...

Personalized predictive hemodynamic management for major oncologic surgery: effect of progressive implementation of monitoring of digital medical devices with artificial intelligence-based algorithms.

BACKGROUND: Avoiding intraoperative hypotension and maintaining an adequate cardiac output (CO) duri...

A novel approach for classifying patients with adrenal tumors based on decision support systems and artificial intelligence.

AIMS: Adrenal incidentalomas (AIs) encompass a wide range of clinical entities, from incidental beni...

Radiation Dose Reduction and Image Quality Improvement of UHR CT of the Neck by Novel Deep-learning Image Reconstruction.

PURPOSE: We evaluated a dedicated dose-reduced UHR-CT for head and neck imaging, combined with a nov...

Assessment of quantitative staging PET/computed tomography parameters using machine learning for early detection of progression in diffuse large B-cell lymphoma.

OBJECTIVE: This study aimed to investigate the role of volumetric and dissemination parameters obtai...

Boosting Checkpoint Blockade Immunotherapy with T Cell Membrane Redox Homeostasis Regulation and Deep Learning Enhanced NIR-II Imaging.

Immune checkpoint blockade therapy has revolutionized clinical oncotherapy by intercepting immunosup...

Developing a novel medulloblastoma diagnostic with miRNA biomarkers and machine learning.

BACKGROUND: Medulloblastoma (MB) is the most common malignant brain tumor in children. Current diagn...

Letter to Editor: "Integrating machine learning and molecular docking to decipher the molecular network of aflatoxin B1-induced hepatocellular carcinoma".