Oncology/Hematology

Prognostic Models and Predictors of Recurrence in Resectable Colorectal Liver Metastases: A Systematic Review and Meta-analysis.

We systematically reviewed prognostic models for recurrence after curative-intent locoregional treatment of colorectal liver metastases (CRLM) and quantitatively synthesized prognostic factors associated with recurrence-free survival (RFS). From 2,208 records across 26 years of literature, 293 studies were included, encompassing 85,150 patients in development cohorts and 5,549 patients in validati...

Machine learning-integrated explainable artificial intelligence for survival prediction in urothelial carcinoma with enfortumab vedotin: an exploratory real-world analysis.

BACKGROUND: Enfortumab vedotin (EV) has transformed treatment for advanced urothelial carcinoma (aUC), but outcomes vary. Machine learning (ML) with explainable artificial intelligence (XAI) may improve survival prediction. METHODS: Data from 544 aUC patients receiving EV after platinum chemotherapy and immunotherapy (51 centers, 24 countries) were analyzed. Four ML algorithms (Random Survival For...

Feasibility of reducing radiation dose and contrast dose while improving image quality in dual-energy CT pulmonary angiography : Use of low-energy virtual monochromatic images with deep learning image reconstruction algorithm.

BACKGROUND: We explored the feasibility of reducing both radiation and contrast doses while improving image quality using low-energy virtual monochrom...

Emerging frontiers and challenges of artificial intelligence in PSMA-PET imaging: pioneering a new chapter in prostate cancer care.

Prostate-specific membrane antigen positron emission tomography (PSMA-PET) has become pivotal in prostate cancer (PCa) management, offering superior s...

Non-Oncology Biomarkers in Precision Medicine: A Narrative Review.

Precision medicine has revolutionized oncology by leveraging biomarkers for individualized therapy selection, early diagnosis, and real-time disease m...

Harnessing machine learning, docking and molecular dynamics for the virtual screening of compounds as CDK4/6 dual inhibitors.

Cyclin-dependent kinases 4 and 6 (CDK4/6) are pivotal regulators of the G1-to-S phase transition, and their dysregulation is a hallmark of numerous ma...

Integrative single-cell and spatial transcriptomic analysis reveals 4-HNE-related stromal remodeling in lung adenocarcinoma.

BACKGROUND: 4-HNE is a lipid peroxidation product involved in oxidative stress, tumor microenvironment remodeling, and tumor progression. This study a...

Extraction solvent shapes the phytochemistry, multi-target bioactivity, and machine learning-predicted anticancer targets of Seseli libanotis.

Seseli libanotis (L.) W. D. J. Koch (Apiaceae) is a wild vegetable traditionally consumed in eastern Anatolia, but its non-volatile phytochemistry and...

Deep learning augmented pathological grading and intraductal carcinoma of the prostate signatures improve recurrence prediction after intensity-modulated radiation therapy.

Locally advanced prostate cancer (PCa) is associated with a high recurrence rate even after curative treatment. We aimed to develop a precise risk mod...

Sodium Danshensu Attenuates Renal Ischemia-Reperfusion Injury by Suppressing STAT3-Driven Cytokine Signaling and Apoptosis.

OBJECTIVE: To evaluate the renoprotective effects and underlying molecular mechanisms of sodium danshensu (SDSS) in renal ischemia-reperfusion (RIR) i...

Machine Learning-Driven Risk Prediction Model in Transthyretin Amyloid Cardiomyopathy.

IMPORTANCE: Transthyretin cardiac amyloidosis (ATTR-CM) is associated with poor prognosis and significant morbidity and mortality, yet existing stagin...

Non-invasive detection and monitoring of oral squamous cell carcinoma and oral potentially malignant disorders: an umbrella review on diagnostic accuracy.

OBJECTIVES: Various non-invasive diagnostic techniques have been developed and assessed to improve early detection and monitoring of oral squamous cel...

Microphysiological immune-on-chip systems: engineering human immunity for precision immunotherapy, vaccine development, and autoimmune disease modelling.

Microphysiological immune-on-chip systems have emerged as transformative biomedical microdevices capable of recreating the structural, biochemical, an...

ASPIRE: Accurate alternative splicing prediction from limited RNA sequencing data and a minimal gene set.

Alternative splicing is a fundamental biological mechanism that increases protein diversity and regulates critical cellular processes across eukaryote...

Leveraging artificial intelligence in the early detection of ovarian cancer: Development and validation of a risk prediction model.

OBJECTIVE: To develop and validate a predictive tool to estimate the risk of ovarian cancer in a screening setting. METHODS: Machine learning was leve...

Lactylation-related immune-metabolic dysregulation defines prognostic and therapeutic stratification in lung adenocarcinoma.

BACKGROUND: Lactylation links lactate metabolism with inflammatory signaling and immune regulation in tumors. However, its cellular distribution and t...

Pan-tumor spatial transcriptomics reveals conserved properties of tumor organization.

Tumor microenvironments (TMEs) are compositionally and functionally heterogeneous, making it challenging to discover organizing structural principles....

Brain Tumor Classification from MRI Using Colormap-Based Vision Transformers on the BRISC2025 Dataset.

Accurate brain tumor classification from magnetic resonance imaging (MRI) is essential for supporting early diagnosis and treatment planning. While Vi...

Integrated multi-omics, machine learning, network toxicology, and molecular docking reveal potential mechanisms underlying methyl 4-hydroxybenzoate-associated breast cancer.

Breast cancer (BC) represents a major public-health burden, and epidemiological evidence suggests a potential association with exposure to methyl 4-hy...

Nanomaterial-based drug delivery systems: From intelligent delivery to clinical translation and precision nanomedicine.

Nanomaterial-based drug delivery systems (NDDS) have become enabling technologies for small-molecule reformulation, RNA medicines, vaccines, gene edit...