Oncology/Hematology

The molecular landscape of chordoma: Current frontiers from multi-omics to artificial intelligence.

Chordoma is a rare and aggressive malignant bone tumor of the axial skeleton that has historically c...

Current landscape of RNA chemistry and delivery in cancer immunotherapy.

Small interfering RNAs (siRNAs) are programmable nucleic acids that play key roles in chemical biolo...

Multicentre performance and consistency of two deep learning models for malignancy probability estimation of incidental pulmonary nodules.

OBJECTIVES: A screening-trained deep learning (DL) model (DL1) for pulmonary nodule malignancy proba...

A clinical-radiomics model based on MRI sub-regions of gluteus maximus for recurrence prediction in high-grade serous ovarian cancer.

PURPOSE: To evaluate the predictive value of MRI sub-regional radiomics of the gluteus maximus for r...

Prediction models for adverse events from prostate cancer curative radiotherapy: a systematic review of methodological quality.

BACKGROUND: Predicting risks of urinary, bowel, sexual, and other adverse effects following prostate...

Transforming Cancer Treatment: Integrative Strategies Targeting the Tumor Microenvironment through Biological Innovation and Artificial Intelligence.

Cancer is no longer viewed solely as a consequence of tumor-intrinsic genetic alterations but rather...

Evaluating clinical and neuroimaging predictors for cognitive-behavioral therapy outcome in obsessive-compulsive disorder.

Cognitive-behavioral therapy (CBT) is the first-line treatment for obsessive-compulsive disorder (OC...

A stromal-immune computational pathology signature for prognosis and immune checkpoint inhibitor response in localized, locally advanced and metastatic urothelial carcinoma: A multicenter retrospective study.

BACKGROUND: Tumor microenvironment (TME) including stromal composition and antitumor immune response...

Supporting leukemia patients when the real-world gets in the way: improving adherence to oral treatment.

Programmable nanoprobes for molecular imaging of cancer: toward adaptive and context-responsive diagnostics.

Molecular imaging has emerged as a powerful tool for early cancer detection and real-time visualizat...

Interfractional Monitoring of Spacer Hydrogel Morphology in Patients With Prostate Cancer Receiving SBRT Treatment.

PURPOSE: The purpose of this study is to explore whether spacer hydrogel morphology changes during t...

Local recurrence in rectal cancer: from detection to structured reporting.

Despite advances in total mesorectal excision and neoadjuvant therapy, locally recurrent rectal canc...

Current status and challenges of immune checkpoint inhibitors in liver cancer: from monotherapy to combination strategies.

Hepatocellular carcinoma (HCC) has an extremely poor prognosis. The emergence of immune checkpoint i...

Artificial Intelligence-Driven Multiomics Integration in Lung Cancer: From Data Convergence to Precision Phenomics.

Lung cancer remains a leading cause of cancer-related mortality worldwide due to its extensive molec...

Metabolomics predict treatment response to vedolizumab in pediatric IBD: results from the prospective VedoKids cohort study.

BACKGROUND AND AIM: Metabolites produced through host-microbe interactions may help associate metabo...

Accurate and noninvasive prostate cancer detection using plasma-derived extracellular vesicle RNA.

Prostate cancer (PCa) is the most commonly diagnosed noncutaneous malignancy in men and a leading ca...

Artificial intelligence-powered evaluation of the pathologic response to preoperative therapy in non-small cell lung cancer.

INTRODUCTION: Quantitative assessment of the pathologic response (pR) in the eyeball approach remain...

scXpand: Pan-cancer detection of T cell clonal expansion from single-cell RNA sequencing without paired single-cell TCR sequencing.

Advances in single-cell sequencing have enabled detailed characterization of T cell clonal dynamics ...

Development and Validation of an Interpretable Machine Learning Model for Staging Helicobacter pylori-Initiated Intestinal-Type Gastric Cancer in the Correa Cascade: Cross-Sectional Study.

BACKGROUND: Gastric cancer (GC) is one of the most common malignant tumors worldwide, with Helicobac...

An Explanatory Deep Learning Pipeline for the Prediction and Visualization of Spatially Resolved Biomarker Expression in Triple-Negative Breast Cancer.

Histopathologic evaluation remains central to cancer diagnosis and treatment planning, yet the molec...

Human-AI Interaction With AI-Assisted Tumor Overlays in Pediatric Whole-Body Magnetic Resonance Imaging: Exploratory Reader Study.

BACKGROUND: AI tools have the potential to enhance personalized clinical care, particularly in radio...