Nephrology

Annotation-efficient Semi-supervised and Active Learning for Breast Cancer Segmentation in DCE-MRI.

Accurate breast tumor segmentation in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)...

New Evidence in Heart Failure: 2026 Update.

Heart failure (HF) remains a major cause of morbidity, mortality, impaired quality of life and healt...

Machine learning models for early detection of urinary tract infections in kidney transplant patients.

BACKGROUND: Renal transplantation is the preferred treatment for end-stage chronic kidney disease bu...

Retraction notice to Letter in reference to "Using machine learning for personalized prediction of longitudinal COVID-19 vaccine responses in transplant recipients" [AJT Volume 25, Issue 5, May 2025, Pages 1138-1139].

Effect of a Machine Learning Algorithm to Guide Goal-Directed Therapy After Cardiac Surgery.

BACKGROUND: Goal-directed therapy allows clinicians to optimize perfusion and volume status in patie...

Artificial Intelligence in Xenotransplantation: A Prioritized Roadmap for Early Clinical Translation, Opportunities and Challenges.

Xenotransplantation represents a potential solution to the persistent global organ shortage, yet its...

Machine learning for predicting stone-free rate after retrograde intrarenal surgery: Comparison with the T.O.HO. score.

Urolithiasis remains a significant clinical burden, and accurately predicting stone-free status afte...

Machine Learning-Driven Risk Clusters for Adverse Outcomes in Patients Hospitalized with Acute Heart Failure: Using a Retrospective Cohort Data.

AIM: Heart failure (HF) poses a growing public health burden, yet conventional risk stratification m...

Identification of comorbidity-based clusters and mortality risk in hospitalised patients with diabetes mellitus in Karachi, Pakistan: a machine learning analysis.

BACKGROUND: Diabetes has reached epidemic proportions in Pakistan. This study applied machine learni...

Multi-Omics-Driven Insights into Cancer Biology and Therapeutic Targeting.

The increasing biological complexity and heterogeneity of cancer have driven a shift in oncology dru...

Parkinson's Disease and Retinal Age Gap: A Cross-Sectional Analysis.

BACKGROUND: Deep-learning models are capable of predicting age from retinal scans and the difference...

Non-Oncology Biomarkers in Precision Medicine: A Narrative Review.

Precision medicine has revolutionized oncology by leveraging biomarkers for individualized therapy s...

Artificial intelligence-based prediction of stone-free status in patients undergoing mini-percutaneous nephrolithotomy without retrograde insertion of a ureteral catheter.

PURPOSE: This study aimed to develop and validate an artificial intelligence (AI) predictive model f...

DyAb: sequence-based antibody design and property prediction in a low-data regime.

Protein therapeutic design and property prediction are frequently hampered by data scarcity. Here we...

Silicon-based anode materials for high-capacity lithium-ion batteries: recent advances and challenges.

Silicon is a promising anode material for high-energy-density lithium-ion batteries because of its h...

Sodium Danshensu Attenuates Renal Ischemia-Reperfusion Injury by Suppressing STAT3-Driven Cytokine Signaling and Apoptosis.

OBJECTIVE: To evaluate the renoprotective effects and underlying molecular mechanisms of sodium dans...

Myocardial Fibrosis in Pediatric Heart Disease: Mechanisms, Imaging Biomarkers, Clinical Consequences, and Emerging Antifibrotic Therapies.

Myocardial fibrosis is increasingly recognized as a central determinant of adverse cardiac remodelin...

Unveiling the immuno-inflammatory endotype of sepsis-associated acute kidney injury: a machine learning-based approach.

BACKGROUND: Sepsis-associated acute kidney injury (SA-AKI) is a frequent and high-mortality complica...

Personalized evaluation of NT-proBNP and clinical characteristics in suspected heart failure: the PRECISE-HF study.

BACKGROUND AND AIMS: N-terminal pro-B-type natriuretic peptide (NT-proBNP) is recommended to guide e...

Risks of Major Adverse Kidney Events in Non-Hispanic Black Patients with Diabetes or Hypertension: A real-world cohort study.

INTRODUCTION: Chronic kidney disease (CKD) disproportionately burdens non-Hispanic Black (NHB) patie...

Performance and label efficiency of traditional deep-learning models and a retina-specific foundation model for ocular and systemic disease detection: a retrospective comparative study.

BACKGROUND: RETFound, a self-supervised retina-specific foundation model, has shown potential in dow...