Nephrology

Reply - Letter to the editor: Comment on "Explainable Electronic Medical Record-Based Machine Learning to Predict 1-Year Incident Protein-Energy Wasting in Non-Dialysis Chronic Kidney Disease: A Single-Center Development Study".

A preoperative Artificial Intelligence model to estimate cancer-specific mortality in nonmetastatic kidney cancer patients.

Surgical resection is the standard treatment for nonmetastatic renal cell carcinoma, yet survival ou...

A donor-recipient ranking model to optimize long-term survival post liver transplant.

Liver transplant (LT) is a life-saving treatment for patients with cirrhosis and/or hepatocellular c...

Data subdivision approach enhances machine learning-based mortality prediction in pediatric ICU patients.

OBJECTIVE: To evaluate machine learning-based models for predicting all-cause mortality in pediatric...

Leveraging Natural Language Processing to Evaluate the Evolution of Subcapsular Renal Hematomas: Report of a 10-Year Retrospective Multi-Institution Study.

PURPOSE: To characterize the etiology and clinical course of patients with subcapsular renal hematom...

Interpretable Machine Learning in Heavy Metal-Associated Cardiovascular and Metabolic Disease: A Review of Current Methodologies, Toxicological Insights, and Clinical Implications.

Heavy metals, including lead (Pb), cadmium (Cd), arsenic (As), and mercury (Hg), are pervasive envir...

Multimodal Machine Learning Integrating Clinical and Proteomic Data for Early Prediction of Hypertensive Complications: A UKB Longitudinal Study.

BACKGROUND: Hypertension is a leading risk factor for cardiovascular, cerebrovascular, and renal dis...

Computed Tomography-Derived visceral fat area is associated with increased risk of kidney stone recurrence.

Visceral adiposity has been implicated in metabolic dysregulation and chronic inflammation, both of ...

Prediction of intensive care unit requirement and in-hospital mortality in Fournier's gangrene: a comparative analysis of conventional statistical and machine learning models.

This study aimed to evaluate the need for intensive care unit (ICU) admission and identify factors a...

Integrating machine learning-based molecular design with experimental validation for the discovery of EGFR inhibitors in lung cancer.

The emergence of drug resistance and off-target toxicities in epidermal growth factor receptor (EGFR...

DrugDL: Dual-modal deep learning framework for multi-property drug prediction and targeted therapy discovery.

MOTIVATION: The accurate and robust representation of drug molecule features, the prediction of drug...

Comment on "Explainable Electronic Medical Record-Based Machine Learning to Predict 1-Year Incident Protein-Energy Wasting in Non-Dialysis Chronic Kidney Disease: A Single-Center Development Study".

Multi-omics body-fluid biomarkers in immunoglobulin a nephropathy: Analytical Validation, standardization, and clinical chemistry translation of diagnostic and prognostic Analytes.

IgA nephropathy (IgAN) is the most prevalent primary glomerulonephritis worldwide. Although optimize...

Explainable artificial intelligence models in predicting major cardiovascular events: insights from the PolyIran and PolyPars prospective studies.

Cardiovascular diseases are among the leading causes of global mortality and morbidity, underscoring...

Beyond Fluorination: A Golden Criterion Guided by Chemical Coordination-Informed Machine Learning for High-Voltage Electrolyte Design.

Fluorine chemistry has garnered attention for extending operating voltage limits of electrolytes thr...

Single-Molecule Additive Integrating Na-Ion Reservoir, Cosolvent, and Diluent Functions for Low-Temperature Na-Ion Batteries.

Na-ion batteries hold great promise for low-temperature energy storage, but their performance is sev...

Unified Topological Framework for Representation and Construction of Generalized Carbon Nanobelts.

The expanding structural and topological diversity of macrocyclic polycyclic aromatic hydrocarbons, ...

Machine learning prediction of childhood nephrotic syndrome outcomes.

BACKGROUND: Children with steroid-resistant, frequently relapsing, and steroid-dependent nephrotic s...

Ophiopogon japonicus alleviates pulmonary fibrosis through modulation of HIF1A/TUBB3 axis-associated M2 macrophage polarization and arginine metabolic alterations.

ETHNOPHARMACOLOGICAL RELEVANCE: Ophiopogon japonicus (Thunb.) Ker Gawl. is a traditional Chinese med...

RRBP1 promotes osimertinib resistance by activating fatty acid oxidation-dependent metabolic and immune reprogramming in EGFR-Mutant lung adenocarcinoma.

Osimertinib is a third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor ...

Comparison of ChatGPT and dietitians in formulating diet plans and recommendations for patients with cardiometabolic diseases.

BACKGROUND: Artificial Intelligence (AI) is transforming personalized medicine, yet its efficacy con...