Nephrology

Latest AI and machine learning research in nephrology for healthcare professionals.

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Advancing fungal phylogenetics: integrating modern sequencing, dark taxa discovery, and machine learning.

The study of fungal genetics has undergone transformative advancements in recent decades, profoundly...

Current state of AI for shockwave lithotripsy: a systematic review from YAU and EAU endourology.

PURPOSE: To consolidate the current evidence of artificial intelligence (AI) for management of nephr...

Machine learning-assisted assessment of extracellular vesicles can monitor cellular rejection after heart transplant.

BACKGROUND: Heart transplant rejection, particularly acute cellular rejection (ACR), remains a criti...

Diagnostic immune-related markers for diabetic kidney disease: a bioinformatics and machine learning approach.

OBJECTIVE: Diabetic kidney disease (DKD) is a leading cause of chronic kidney disease, with chronic ...

Non-invasive identification of TKI-resistant NSCLC: a multi-model AI approach for predicting EGFR/TP53 co-mutations.

OBJECTIVES: To investigate the value of multi-model based on preoperative CT scans in predicting EGF...

A holistic framework for intradialytic hypotension prediction using generative adversarial networks-based data balancing.

BACKGROUND: Intradialytic Hypotension (IDH) is a frequent complication in hemodialysis, yet predicti...

Real-world deployment of a fine-tuned pathology foundation model for lung cancer biomarker detection.

Artificial intelligence models using digital histopathology slides stained with hematoxylin and eosi...

Atomistic Simulations of Thermal and Chemical Expansions of PrNiCoO Accelerated by Machine Learning Potentials.

The electrodes and solid-state electrolytes in protonic ceramic electrochemical cells (PCECs) experi...

Validation of the Toronto recurrence inference using machine-learning for post-transplant hepatocellular carcinoma model.

BACKGROUND: Organ shortages require prioritizing hepatocellular carcinoma (HCC) patients with the hi...

A clinicians' guide to non-invasive ventilation for exacerbated chronic obstructive pulmonary disease.

INTRODUCTION: Chronic Obstructive Pulmonary Disease (COPD) is a debilitating condition marked by per...

Unsupervised learning using EHR and census data to identify distinct subphenotypes of newly diagnosed hypertension patients.

BACKGROUND: Hypertension (HTN) is a complex condition with significant heterogeneity in presentation...

Drp1 Proteins Released from Hydrolysis-Driven Scaffold Disassembly Trigger Nucleotide-Dependent Membrane Remodeling to Promote Scission.

Dynamin-related protein (Drp1) drives mitochondrial fission, dysregulation of which leads to neurode...

A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology.

Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diag...

Cellular senescence in renal ischemia-reperfusion injury.

Acute kidney injury (AKI) affects more than 20% of hospitalized patients and is a significant contri...

Artificial intelligence and digital twins for the personalised prediction of hypertension risk.

Hypertension is a significant global health challenge, contributing substantially to morbidity and m...

Identification and validation of parthanatos-related genes in end-stage renal disease.

BACKGROUND: End-Stage Renal Disease (ESRD) is a severe chronic kidney disease with a rising global i...

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