PURPOSE OF REVIEW: Stress perfusion cardiac magnetic resonance imaging (CMR) has gained increasing adoption across North America and Europe for the evaluation of symptomatic suspected or established ischemic heart disease (IHD).
BACKGROUND: Early mortality prediction in critically ill patients with cardiovascular disease remains challenging. This study aimed to develop and validate an ensemble machine learning (ML) model to predict 30-day mortality, comparing its performance...
This study presents a novel deep learning (DL) framework, the Deep Neural Frailty Competing Risks (DNFCR) model, which simultaneously integrates frailty and competing risks (CR) for mortality prediction in heart failure (HF). While existing models li...
The development of the immune system (ISD) plays a pivotal role in both the genesis and progression of tumors, yet its specific functions in hepatocellular carcinoma (HCC) and the mechanisms behind sorafenib resistance remain elusive. In our investig...
Fatty acid metabolism is critically involved in glioblastoma (GBM) pathogenesis; however, its regulatory mechanisms remain incompletely understood. In this study, we identified biliverdin reductase A (BLVRA) as a novel metabolic driver and prognostic...
BACKGROUND: With nearly one-third of patients with advanced non-small cell lung cancer (NSCLC) and PD-L1 Tumor Proportion Score≥50% surviving beyond 5 years following first-line pembrolizumab, long-term outcomes challenge traditional paradigms of can...
Heart failure (HF) is a major global health burden, and complex comorbidity patterns can worsen clinical outcomes and complicate patient care. This study aimed to identify distinct comorbidity-based clusters among HF patients and evaluate their assoc...
BACKGROUND: Ovarian cancer (OC) poses a significant public health challenge due to its dismal prognosis and low survival rates. However, the mechanism of OC development remains unclear.
Journal of cancer research and clinical oncology
Sep 27, 2025
OBJECTIVES: To systematically review and evaluate the methodological quality and risk of bias (ROB) of leukemia prediction models essential for clinical decision-making.
This study aims to refine molecular subtypes via multi-omics data, develop a prognostic signature, and identify novel biomarkers in colorectal cancer (CRC). On the basis of the multi-omics data, the MOVICS R package was used to divide patients with C...
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