Oncology/Hematology

Evaluating the interpretation of neck CT/MRI scans by ChatGPT-4V for detecting primary oropharyngeal squamous cell carcinoma: An exploratory study.

OBJECTIVES: Early and accurate detection of head and neck squamous cell carcinoma and the subset of ...

Deep Learning for Pretreatment Imaging-Based Tumor and Nodal Classification in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Network Meta-Analysis.

BACKGROUND: Accurate pretreatment assessment of the extent of tumor invasion and status of cervical ...

Application of a machine learning-based PANoptosis-immune-related gene risk score model in prognostic stratification and immunotherapy benefit prediction for glioblastoma.

This study developed a risk score model using PANoptosis and immune-related genes to predict gliobla...

Investigating the toxicological impacts of thiabendazole exposure on uterine corpus endometrial carcinoma utilizing network toxicology, machine learning, and molecular docking.

Uterine corpus endometrial carcinomas (UCEC) are common cancers of the female reproductive system li...

Multi-Institutional Annotated Multiparametric MRI Dataset of Pediatric High-Grade Gliomas.

Pediatric brain tumors are rare and still represent the most common solid tumors in children and the...

Radiomics-based outcome prediction for irinotecan-TACE in colorectal liver metastases: advanced analysis from the prospective CIREL trial.

OBJECTIVES: Transarterial chemoembolization (TACE) is a promising locoregional therapy for unresecta...

[Artificial intelligence-assisted diagnostics in the pathology of internal and oncological diseases].

BACKGROUND: Artificial intelligence (AI) is increasingly being implemented in digital pathology to s...

Multimodal AI approach combining deep learning imaging and clinical machine learning for pancreatic cancer detection.

Pancreatic ductal adenocarcinoma (PDAC) has poor prognosis due to late diagnosis, limitations of com...

Clinical validation and implementation of mSTOP, a machine learning-based, longitudinal prediction model for the early identification of non-small cell lung cancer patients who not benefit from immune checkpoint inhibitor treatment.

OBJECTIVES: There has been a lot of interest in the field of laboratory medicine regarding the use o...

Random Survival Forest Versus Elastic-Net Regularized Cox Regression for Survival Prediction in Acute Myeloid Leukemia at Distinct Treatment Time Points: Model Performance Comparison Study.

BACKGROUND: Risk group stratification based on the prediction of survival of patients with acute mye...

Detection of Interpretable and Fine-Grained Brain Tumor Magnetic Resonance Imaging Based on Progressive Pruning: Machine Learning Model Development and Validation Study.

BACKGROUND: Brain tumor is one of the most malignant diseases of the central nervous system, and ear...

An advanced hybrid deep learning framework for high-precision brain tumor detection and classification in MRI scans.

Early and accurate identification of brain tumors from magnetic resonance imaging (MRI) is essential...

An agentic framework for autonomous scientific discovery in cancer pathology.

Artificial intelligence has advanced cancer pathology, but many systems still depend on hand-crafted...

A cross-sectional protocol for experimental tongue high-density surface electromyography to detect and classify radiation-associated hypoglossal neuropathy.

BACKGROUND: Hypoglossal neuropathy is the most common lower cranial neuropathy detected as a delayed...

Label-free and non-invasive recovery of circulating tumor cells using an integrated acoustofluidic-SERS chip.

Accurate capture and molecular analysis of circulating tumor cells (CTCs) from whole blood are cruci...

Capturing "source" and "evolution": A 5-year recurrence risk prediction model for nasopharyngeal carcinoma based on integrated radiomic spatial heterogeneity of primary tumor and lymph nodes.

OBJECTIVE: This study aims to deeply mine the radiomic features of the primary tumor (GTVp) and cerv...

Cheminformatics analysis, machine learning-based QSAR model building and virtual screening: identification of dual ROCK1 and TGFBR1 inhibitors for the treatment of cancer metastasis.

Rho-associated coiled-coil kinase 1 (ROCK1) and Transforming Growth Factor Beta Receptor 1 (TGFBR1) ...

Distinct bile mycobiome signature identifies fungal peptide panel predictive for gallbladder carcinoma.

Carcinoma of the gallbladder (CAGB) carries a poor prognosis. While alterations in the bile microbio...

Digital twins in urological oncology and surgery: A review of emerging applications.

BACKGROUND: Digital twin technology represents a transformative approach in healthcare, creating vir...

The Role of Molecular Testing in Head and Neck Squamous Cell Carcinoma of Unknown Primary.

Squamous cell carcinomas of unknown primary (SCCUP), accounting for approximately 5% of head and nec...

Integrating single-cell transcriptomics and machine learning to predict breast cancer prognosis and immunotherapy sensitivity: a study based on proliferating T cells.