Oncology/Hematology

Development and validation of a multimodal deep learning model for early esophageal squamous neoplasia detection and invasion depth prediction.

Early detection of esophageal squamous cell carcinoma (ESCC) is critical for optimizing patient outc...

A scoping review of radiation dose and image quality in paediatric CT: Towards safe imaging protocols and diagnostic reference levels in Jordan.

BACKGROUND: Computed tomography (CT) is an essential diagnostic tool, but its associated radiation e...

Benzo[a]pyrene promotes gastric cancer progression via activation of the Correa cascade through modulation of the STAT3-TP53-MMP9 molecular axis.

To investigate the role of Benzo[a]pyrene (BaP) in driving the Correa cascade during gastric cancer ...

AI-based BRAIx risk score for the intermediate-term prediction of breast cancer: a population cohort study.

BACKGROUND: Artificial intelligence (AI)-based algorithms are being implemented in breast screening ...

A Multiomic Liquid Biopsy for the Earlier Detection of Colorectal Cancer.

UNLABELLED: Timely diagnosis and intervention in colorectal cancer are critical to improving patient...

Tumor metrics imaging core labs: primer for radiologists.

Imaging biomarkers have emerged as increasingly important endpoints in cancer clinical trials. Incor...

Early recurrence prediction and risk stratification of hepatocellular carcinoma after transarterial chemoembolization achieving imaging complete response based on contrast-enhanced CT machine learning.

OBJECTIVES: To develop and validate machine learning (ML) models using clinical and contrast-enhance...

Computer-aided drug design in acute myeloid leukemia: a comprehensive review of advances, challenges, and future prospect.

Deep learning ensemble models for CT-based differentiation of malignant and benign sacral bone tumors: development and evaluation.

OBJECTIVE: Radiologists often face challenges in differentiating benign from malignant sacral bone l...

Revealing Sleep Dynamics with PCT-CRV: A Novel Approach for Automatic Sleep Staging and Tracking Transitions using PSG Signals.

Polysomnography (PSG)-based accurate sleep staging is essential to monitor sleep quality and sleep-r...

Contactless and Wireless Wound Monitoring Using Nitrogen-Doped Graphene Antenna Sensor.

Quantitative remote wound monitoring has the potential to shorten patient recovery time and alleviat...

Integrated CTC Enrichment and Dual-Responsive Nanoprobe Identification Enable Intelligent Liquid Biopsy-Based Cancer Diagnosis.

This work addresses the challenge of accurately identifying living circulating tumor cell (CTC) from...

Influence of body composition on the efficacy of nivolumab plus ipilimumab for metastatic clear cell renal cell carcinoma.

BACKGROUND: Immune checkpoint inhibitor therapy (ICI) with nivolumab+ipilimumab is a first-line (1L)...

TCR sequencing in cancer immunology and immunotherapy: what, when, where, why, and how.

T-cell receptors (TCRs) are generated through somatic recombination of variable (V), diversity (D), ...

A high density of T-cell lymphocytes and Tregs subset correlate to a worse survival in major salivary gland carcinomas.

Salivary gland carcinomas (SGC) are rare and heterogeneous tumors with limited therapeutic options i...

A domain-adaptive deep contrastive network for magnetic resonance imaging-driven bladder cancer classification.

Bladder cancer is one of the most prevalent malignancies of the urinary system and is associated wit...

Clinical value of ultra-low-dose chest CT with deep learning image reconstruction in the detection and characterization of pulmonary nodules.

OBJECTIVE: To evaluate the clinical value of ultra-low-dose CT (ULDCT) with deep learning image reco...

GSDME-mediated pyroptosis modulates the immunosuppressive microenvironment in lung adenocarcinoma.

Despite the increasing recognition of pyroptosis, particularly that involving GSDME, its precise imp...

Integration of circulating tumor DNA data enhances lung cancer prediction in patients with COPD.

Patients with chronic obstructive pulmonary disease (COPD) are at increased risk of lung cancer, and...

Circulating tumor cells (CTCs) enumeration and machine-learning based diagnostic biomarkers for breast cancer detection.

BACKGROUND: Circulating tumor cells (CTCs) are detectable in early-stage cancer and may enable early...

Integrative multi-omics analysis reveals metabolic dysfunction signatures as critical determinants of prostate cancer prognosis and immunosuppressive microenvironments.

BACKGROUND: Metabolic reprogramming is a hallmark of cancer. However, the precise mechanisms by whic...