Urology

Fabricating a SMVF@GO@Ag Composite Aerogel SERS Sensor for the Enrichment and Label-Free Detection of Urinary VOCs.

The detection of volatile organic compounds (VOCs) in urine is a noninvasive diagnostic technique with tremendous promise, holding great potential for early screening, auxiliary diagnosis, and progression monitoring of urinary system diseases. We developed a machine learning-assisted surface-enhanced Raman spectroscopy (SERS) strategy for the highly efficient enrichment and detection of urinary VO...

Network toxicology and experimental validation reveal TDCPP as an emerging environmental risk factor for chronic kidney disease.

BACKGROUND: Tris(1,3-dichloro-2-propyl) phosphate (TDCPP) is a widely used organophosphorus flame retardant that has raised growing concern because it is persistent, can bioaccumulate, and is toxic. However, its possible role in chronic kidney disease (CKD) is still not well understood. METHODS: We used network toxicology, molecular docking, transcriptomic validation, and mouse exposure experiment...

Patient Perspectives on AI-Powered Medical Robots in Breast and Prostate Cancer Care: Qualitative Study.

BACKGROUND: Nearly 250,000 cancer cases are diagnosed annually in Canada, with breast and prostate cancer representing 25% and 22% of new cases, respe...

Multi-cohort, cross-species urinary proteomics reveals signatures of LRRK2 dysfunction in Parkinson's disease.

Pathogenic mutations in Leucine-rich repeat kinase 2 (LRRK2) are the predominant genetic cause of Parkinson's disease (PD) and often increase kinase a...

Interpretable machine learning model for predicting 5-Year postoperative recurrence risk in patients with stage III colon cancer using preoperative laboratory tests: a two-centre study.

BACKGROUND: Colorectal cancer (CRC) is one of the most prevalent malignant diseases worldwide and displays significant heterogeneity. The aim of this ...

Optimizing Early Detection of Diabetic Kidney Disease through Synergistic Biomarkers and Serum Metabolites in Human.

BACKGROUND: Diabetic kidney disease (DKD) progresses to end-stage renal disease more rapidly than chronic kidney disease due to persistent hyperglycem...

Clinically aligned whole-body MRI segmentation of skeletal metastases via Supervised Anatomical Pretraining.

In oncology practice, response assessment of metastatic disease requires reliable and reproducible quantification of measurable metastatic burden. Man...

Associations of fine particulate matter pollution components with overall, prostate cancer, and cardiovascular disease mortality in men with prostate cancer: A cohort study.

BACKGROUND: Over 3.5 million US men are living with prostate cancer (Pica), many with underlying cardiovascular disease (CVD). Fine particulate matter...

Drug repurposing to combat multidrug-resistant hookworm.

Anthelmintic resistance (AR) poses an escalating threat to global soil-transmitted helminth control efforts, particularly in the context of mass drug ...

Real-time high-throughput characterisation of the surface elasticity of suspended cells.

The intrinsic elasticity of the cell membrane-cortex complex, i.e., the cell surface, is a promising biomarker for cell status and disease and has wid...

18F-FDG PET radiomics model for predicting TARE response in patients with colorectal cancer liver metastases.

PURPOSE: Predicting treatment response in patients with colorectal cancer liver metastases (CRCLM) who have undergone transarterial radioembolization ...

CLinNET: An Interpretable and Uncertainty-Aware Deep Learning Framework for Multi-Modal Clinical Genomics.

Identifying molecular drivers and diagnostic genes for neurocognitive disorders (NDs) remains a major challenge due to the prevalence of variants of u...

Emerging Role of Portable Accelerometers for Assessment of Gait Instability in Idiopathic Normal Pressure Hydrocephalus: A Systematic Review.

BackgroundIdiopathic normal pressure hydrocephalus (iNPH) is a reversible cause of gait disturbance, cognitive decline, and urinary incontinence in ol...

Multimodal Large Language Models for Cystoscopic Image Interpretation and Bladder Lesion Classification: Comparative Study.

BACKGROUND: Cystoscopy remains the gold standard for diagnosing bladder lesions; however, its diagnostic accuracy is operator dependent and prone to m...

Development of a machine learning-based model for prediction of diabetes risk in patients with metabolic dysfunction-associated steatotic liver disease (MASLD).

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a leading chronic liver disorder closely linked to diabetes mellitus (...

Early prediction of pressure injury risk in hospitalized patients using supervised machine learning models based on nursing records.

This study aimed to employ supervised models for predicting pressure injuries in hospitalized patients using data collected within the first eight hou...

A comprehensive multi-task deep learning model for kidney cancer: histological subtyping, clinical staging, and anatomical complexity grading.

OBJECTIVES: To develop and validate a multi-task deep learning (MTDL) model using multiphase contrast-enhanced CT (CECT) for simultaneously assessing ...

Semi-supervised learning in prostate MRI tumor detection approaches fully supervised performance on external validation.

OBJECTIVE: To evaluate the diagnostic performance of semi-supervised learning models for aggressive prostate cancer detection on MRI compared to fully...

Novel proteomic subtypes of frailty with distinct molecular patterns and prognosis.

OBJECTIVES: The frailty phenotype has limitations in capturing the biological heterogeneity of the condition. Our study identified subtypes of frailty...

Exploration of neutrophil-associated genes in the prognosis of bladder urothelial carcinoma based on a machine learning and multi-omics data integration framework.