Nephrology

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

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Multi-omics insights of immune cells in the risk and prognosis of idiopathic membranous nephropathy.

Idiopathic membranous nephropathy (IMN) is the major cause of autoimmune-related nephrotic syndrome....

Prediction of Benign and Malignant Small Renal Masses Using CT-Derived Extracellular Volume Fraction: An Interpretable Machine Learning Model.

RATIONALE AND OBJECTIVES: We developed a machine learning model comprising morphological characteris...

Mitigating proton trapping in cubic perovskite oxides via ScO octahedral networks.

Advances in electrochemical devices have been primarily driven by the discovery and development of e...

Electrode Flexibility Enhances Electrolyte Dynamics during Supercapacitor Charging.

Supercapacitors are energy storage devices with high power density and long cycle life. Combined wit...

Finerenone Modulates PANoptosis to Improve Immune Microenvironment in Diabetic Nephropathy: A Machine Learning-Based Mechanistic Analysis.

Diabetic nephropathy (DN) is characterized by nephron degeneration induced by hyperglycemia, driven ...

Identification and experimental validation of mitochondrial and endoplasmic reticulum stress related gene in diabetic nephropathy.

Diabetic nephropathy (DN) is a kidney disease. Mitochondrial and endoplasmic reticulum stress (ERS) ...

Urinary Complement proteome strongly linked to diabetic kidney disease progression.

Diabetic kidney disease (DKD) progression is not well understood. Using high-throughput proteomics, ...

Interfaces govern the structure of angstrom-scale confined water solutions.

Nanoconfinement of aqueous electrolytes is ubiquitous in geological, biological, and technological c...

Quantum Federated Learning in Healthcare: The Shift from Development to Deployment and from Models to Data.

Healthcare organizations have a high volume of sensitive data and traditional technologies have limi...

An improved domain-adversarial network for predicting hemodialysis adequacy.

Hemodialysis (HD) is the primary life-sustaining treatment for patients with end-stage renal disease...

Metabolic Reprogramming in Pheochromocytoma and Paraganglioma: Insights From Untargeted NMR Metabolomics Presurgical and Postsurgical intervention.

The aim of this study is to investigate the metabolic alterations associated with pheochromocytomas ...

Association between albumin-corrected anion gap and delirium in acute pancreatitis: insights from the MIMIC-IV database.

BACKGROUND: Delirium frequently occurs as a severe complication among patients with acute pancreatit...

Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images.

Kidney cancer is a leading cause of cancer-related mortality, with renal cell carcinoma (RCC) being ...

Machine learning based optimization of titanium electropolishing using artificial neural networks and Taguchi design in eco-friendly electrolytes.

This research proposes an integrated optimization framework combining artificial neural networks (AN...

Artificial intelligence in hematopoietic stem cell transplantation care and complication management.

The practice of allogeneic hematopoietic stem cell transplantation (alloHCT) has evolved from an exp...

Opportunities and Challenges in Unsupervised Learning: The Case of Aqueous Electrolyte Solutions.

Machine learning has emerged as a powerful tool in atomistic simulations, enabling the identificatio...

Toward Stable Zinc Anode: An AI-Assisted High-Throughput Screening of Electrolyte Additives for Aqueous Zinc-Ion Battery.

Currently, challenges such as zinc dendrites, hydrogen evolution reactions, and byproduct formation ...

AI-driven framework for automated detection of kidney stones in CT images: integration of deep learning architectures and transformers.

. Kidney stones, a prevalent urological condition, associated with acute pain requires prompt and pr...

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