Nephrology

Machine learning-driven discovery of STAT1 and TRIM22 as immune biomarkers for lupus nephritis: translational insights into diagnosis and pathogenesis.

Machine learning based classification of aggressive and malignant renal tumors from multimodal data.

This study aimed to develop and evaluate a machine learning pipeline using multiphase contrast-enhan...

Prediction of COVID-19 hospitalisation, ICU admission or death following ChAdOx1 vaccination using artificial intelligence: A clinical predictive model from the English RAVEN study.

OBJECTIVES: This study identifies predictors of severe COVID-19 following completion of two-dose pri...

The shared mechanisms and potential diagnostic markers for IgA nephropathy and celiac disease.

IgA nephropathy (IgAN) and celiac disease (CeD) are autoimmune disorders characterized by dysregulat...

Driver gene mutations and clinical features predict bone metastasis risk in NSCLC: a logistic regression model.

Bone metastasis affects approximately 40% of patients with non-small cell lung cancer (NSCLC), signi...

NPHS2 Revisited Through 208 Cases and Podocin Complex Modeling.

INTRODUCTION: Steroid-resistant nephrotic syndrome (SRNS) is the leading cause of chronic glomerular...

Prognostic models in populations with heart failure: a systematic review and meta-analysis.

BACKGROUND: Heart failure (HF) remains a major cause of morbidity and mortality, highlighting the ne...

Platelets as immune sensors: monitoring immune dynamics and diagnosing disease states across multiple disorders.

BACKGROUND: Beyond their classical roles in haemostasis and thrombosis, platelets have been recognis...

Multimodal machine learning for Cr(Ⅵ) removal and floc settling using image-based floc features and operating parameters.

Electrocoagulation is a promising technique for Cr(Ⅵ) removal from wastewater, but its performance i...

Strategies to reduce perioperative acute kidney injury in non-cardiac adult surgeries: the secret sauce.

Acute kidney injury is a common perioperative complication that leads to significant downstream effe...

Artificial intelligence-driven nano-enhanced stem cell therapy for neurodegenerative diseases: from rational design to clinical translation.

Neurodegenerative diseases (NDs) are progressive and incurable central nervous system disorders char...

Assessment of Predictive Factors That Shorten Duration of Treatment in Patients With Multiple Myeloma Using AI: Real-World Longitudinal Study Using Data From Medical Data Vision Claims Database.

BACKGROUND: With the availability of newer therapies, the duration of therapy (DoT) shortens with ea...

MRI-based habitat radiomics for assessing synchronous metastatic risk in renal cell carcinoma: a multicenter study.

PURPOSE: To explore the role of MRI-based habitat radiomics in assessing the metastatic status of re...

Screening for Clinically Significant Nephrolithiasis Based on Simple Health Checkup Clinical and Urine Parameters in General Populations: Multicenter Machine Learning Study.

BACKGROUND: Nephrolithiasis affects approximately 15% of the population and often remains undetected...

Bulk and single-cell transcriptomics for identification of potential diagnostic biomarkers associated with pulmonary arterial hypertension and integrated stress response and experimental validation.

BACKGROUND: Pulmonary arterial hypertension (PAH) is a lethal vascular disorder characterized by irr...

Concurrent driver mutations induce distinct tumour morphologies on radiological imaging.

BACKGROUND: Most radiogenomic studies examine single driver mutations in isolation, despite evidence...

Novel Systemic Associations of Idiopathic Epiretinal Membrane Identified via Machine Learning.

PURPOSE: To discover novel systemic associations that may lead to idiopathic epiretinal membrane (iE...

Cognitive AI beyond prediction: toward reasoning and discovery.

Artificial intelligence (AI) has become indispensable in the investigation of materials and systems ...

Vulnerability and short clinical outcomes in patients on the deceased-donor kidney transplant waiting list.

BACKGROUND: With prolonged waiting times for deceased-donor kidney transplantation (DDKT) in Japan, ...

Endocrine hypertension in 2025: how AI and multiomics are revolutionizing detection.

INTRODUCTION: Endocrine hypertension (EH) represents a small yet clinically significant subset of se...

Nanoengineering of non-aqueous liquid electrolyte solutions for future lithium metal batteries.

Research and development of non-aqueous electrolyte solutions are essential for practical advancemen...