Oncology/Hematology

Artificial intelligence construction: a review of the bridge between CT imaging features of lung ground-glass nodules adenocarcinoma and carcinogenic driver genes.

Lung ground-glass nodules (GGNs) represent a critical early imaging manifestation of lung adenocarci...

[Digital twins in uro-oncology].

BACKGROUND: Uro-oncology is moving toward precision medicine, driven by high-dimensional longitudina...

Monotherapy cancer drug-blind response prediction is limited to intraclass generalization.

Monotherapy cancer drug response prediction (DRP) models predict the response of a cell line to a gi...

Identification and molecular typing of disulfidptosis-related biomarkers in anaplastic thyroid carcinoma.

Increasing evidence suggests that disulfidptosis plays a crucial role in tumorigenesis and progressi...

A new era of precision diagnosis and treatment for lung cancer: artificial intelligence-driven multimodal data integration and clinical applications.

Certain characteristics, such as high heterogeneity, a complex tumor microenvironment, metastatic po...

The University of Texas Southwestern Glioma Dataset - MRI, Molecular Markers and Segmentations.

Gliomas are the most common type of primary brain tumors. Their management options and outcomes depe...

A multimodal approach integrating NK cell-associated gene signatures and pathomics to predict colon adenocarcinoma prognosis.

ThyroFusion: A Multi-modal Deep Learning Framework Integrating Vision and Language for Thyroid Nodule Malignancy Risk Assessment.

Accurate differentiation between benign and malignant thyroid nodules remains challenging in clinica...

Delineating Pediatric Adrenocortical Tumors by GC-MS Urinary Steroid Metabolome Analysis: Observations From the MET Study.

INTRODUCTION: Adrenocortical tumors (ACTs) comprise adrenocortical adenomas (ACAs) and adrenocortica...

An Interpretable Machine-Learning Model for Predicting Occult Central Lymph Node Metastasis in Papillary Thyroid Cancer.

CONTEXT: Accurate preoperative prediction of occult lymph node metastasis (OLNM) in clinically lymph...

Graves' disease: a new era of pathophysiology-guided therapeutics.

Graves' disease (GD) is an autoimmune entity that had an unchanged treatment paradigm for more than ...

Game of clones: decipher lineage plasticity in hormone-driven cancers.

Hormone-dependent cancers such as prostate, breast, and endometrial carcinomas rely on nuclear hormo...

A novel qVGG-4 model for optimizing a parameterized quantum circuit in a quantum-IoT-based brain tumor detection and monitoring system.

BACKGROUND: Since brain tumors (BTs) require early detection for timely and effective treatment plan...

Divergent macrophage-regulated T cell states determine response to Bacillus Calmette-Guérin vaccine in high-risk bladder cancer.

BACKGROUNDPrimary therapy for high-risk bladder cancer (BCa) is repeated instillations of the tuberc...

FDA-authorized oncology artificial intelligence and machine learning devices and their clinical evidence: A cross-sectional analysis.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) tools are increasingly embedded i...

Exploring the toxicological impact of perfluorooctanoic acid and perfluorooctane sulfonate on glioblastoma through network toxicology, machine learning, and multi-dimensional bioinformatics analysis.

Exposure to perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) has been associated w...

Nanomaterials reshaping cancer radiotherapy: Radiosensitization mechanisms, delivery and theranostic platforms, multimodal synergy, and clinical translation strategies.

Radiotherapy (RT) remains a cornerstone of cancer management but is fundamentally constrained by nor...

Crosstalk between immune and programmed cell death and their application in colorectal cancer risk stratification.

Programmed cell death (PCD) and cellular immunity play pivotal roles in colorectal cancer (CRC) prog...

Identification of oral squamous cell carcinoma by an electronic nose based on an array of metal oxide sensors with machine learning.

World Health Organization classification of tumours of the breast 6th edition 2026.

The 6th edition of the WHO Classification of Breast Tumours introduces both major and minor changes ...

A novel autoantibody panel as potential diagnostic markers for hepatocellular carcinoma.

AIMS: Hepatocellular carcinoma (HCC) represents a major global health burden. Tumor-associated autoa...