Nephrology

Machine learning-based prediction of Clavien-Dindo ≥ II complications after ureteroscopy.

PURPOSE: Clavien-Dindo (CD) grade II complications after ureteroscopy occur in approximately 13-17% of cases, typically involving infections or bleeding requiring medical intervention. Thus, the purpose of this study was to create and internally validate a lean prediction model for CD ≥ II complications after ureteroscopy using routinely available perioperative predictors. METHODS: Retrospective s...

Development and Validation of an XGBoost-SHAP Model for Predicting Adverse Outcomes in Elderly Cardiovascular Patients With Polypharmacy: A Retrospective Cohort Study.

This study aims to develop and validate an interpretable machine learning model using Extreme Gradient Boosting (XGBoost) with SHapley Additive exPlanations (SHAP) analysis to predict adverse outcomes in elderly cardiovascular patients with polypharmacy. This retrospective cohort study included 1200 patients aged ≥ 65 years with cardiovascular disease and polypharmacy (≥ 5 medications) from The Fi...

Development of an Artificial Intelligence-Driven Three-Dimensional Reconstruction Model of Renal Vasculature for Surgical Planning in Robot-Assisted Partial Nephrectomy.

BACKGROUND: This single-centre study aimed to implement and internally validate a deep learning pipeline based on a 3D SegResNet architecture for auto...

A Pharmaco-Epidemiological Research Program Leveraging a Nationwide Database of Kidney Transplantation.

OBJECTIVES: The pharmaco-epidemiological research program in kidney transplantation (PERP-KT) aims to evaluate, for the principal maintenance immunosu...

[Artificial intelligence in hypertension: where do we stand?].

Artificial intelligence (AI) is entering the study of hypertension, serving both primarily clinical purposes - to assist practicing physicians - and r...

Hexagonal Hollow-Core Photonic Crystal Fiber for High-Sensitivity Terahertz Glucose Detection.

Diabetes mellitus is a rapidly escalating global health concern, often leading to severe complications such as neuropathy, vision impairment, vascular...

Mycoplasma infection drives EGFR-TKI resistance through convergent transcriptomic reprogramming in non-small cell lung cancer.

Epidermal growth factor receptor (EGFR) mutations are an oncogenic driver in non-small cell lung cancer (NSCLC), but resistance to EGFR tyrosine kinas...

Unraveling the Impact of Serum Zinc Levels on Chronic Kidney Disease: Machine Learning and SHAP Value Interpretation.

Zinc is an essential trace element involved in antioxidant defense, immune regulation, and metabolic homeostasis, but its association with chronic kid...

Unveiling Mechanisms of SEI Formation and Sodium Loss in Sodium Batteries via Interface Reactor Sampling.

The solid electrolyte interphase (SEI) critically dictates the cyclability and Coulombic efficiency of sodium-metal batteries, yet its dynamic formati...

Toward a Structured Imaging Reporting System for Kidney Masses: The Molecular Imaging Perspective on KI-RADS.

Recently, a structured approach to renal mass characterization known as the Kidney Imaging Reporting and Data System (KI-RADS) was proposed. In that p...

Multimodal Management of Pain in Oral Squamous Cell Carcinoma: A Mechanism-Based Approach.

PURPOSE OF REVIEW: Oral squamous cell carcinoma (OSCC) is frequently associated with severe nociceptive and neuropathic pain that adversely affects pa...

Development and validation of a nomogram for predicting hemoptysis risk in patients with bronchiectasis: A study based on Random Forest algorithm.

Hemoptysis is a severe and potentially life-threatening complication of bronchiectasis. There is currently a lack of reliable tools for the individual...

Identifying the Most Important Influencing Factors Based on Demographic Information, Nutrition, Physical Activity, Leisure Time, and Underlying Diseases in the Severity of Disease in COVID-19 Patients Using Data Mining Techniques.

BACKGROUND AND AIMS: The COVID-19 pandemic has affected millions of individuals worldwide and resulted in substantial mortality. Data mining and machi...

Era-specific prognostic factors and an interpretable machine-learning survival model for renal cell carcinoma brain metastases.

BACKGROUND: Brain metastases (BM) in renal cell carcinoma (RCC) are associated with poor prognosis and limited clinical guidance. We aimed to identify...

Cardiovascular risks of plastic-associated chemicals: Integrating mixture modeling and SHAP-explained machine learning to unravel linear and non-linear associations.

INTRODUCTION: Plastic-associated chemicals (PACs) are widely detected environmental contaminants, yet their cardiovascular relevance in the context of...

Predictive biomarkers for immunotherapy response in renal cell carcinoma: why have they failed?

PURPOSE OF REVIEW: The heterogeneity of response to immunotherapies in renal cell carcinoma has created a strong need for predictive biomarkers to gui...

The promise of deep urine proteomics for diagnosis of cancer, neurologic, and metabolic diseases.

INTRODUCTION: Urine offers a noninvasive and low-cost source of disease biomarkers, yet most proteomic studies have targeted single conditions. Using ...

Predicting medication non-adherence using machine learning: Incorporating Complementary and Alternative Medicine (CAM) beliefs in Malaysian chronic disease patients.

Medication non-adherence among chronic disease patients remains a major contributor to poor health outcomes and medication wastage, particularly in mu...

Prediction of postoperative acute kidney injury in patients undergoing off-pump coronary artery bypass grafting: A machine learning model.

BACKGROUND: The incidence of cardiac surgery-associated acute kidney injury (CSA-AKI) is 26.0%-28.5%. Among cardiac procedures, off-pump coronary arte...

Intracranial pressure physiology, monitoring and individualized management in the acute brain injured patient.

Acute brain injury (ABI), including traumatic brain injury, ischemic and hemorrhagic stroke, is associated with high morbidity and mortality, which is...