Nephrology

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 but requires lifelong immunosuppression, increasing the risk of infections such as urinary tract infection (UTI). UTI in kidney transplant recipients can lead to serious complications, including acute kidney injury, reduced graft survival, and increased mortality. Machine learning can enhance risk det...

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 patients postoperatively. OBJECTIVE: To evaluate the ef...

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 clinical application remains stalled by complex i...

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 after retrograde intrarenal surgery (RIRS) is essentia...

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 models fail to capture the multidimensional complex...

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 learning (ML) techniques to identify comorbidity-based a...

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

The increasing biological complexity and heterogeneity of cancer have driven a shift in oncology drug discovery from single-target approaches toward s...

Prognostic Value of Artificial Intelligence ECG-Derived Diastolic Function in Surgical Aortic Valve Replacement.

BACKGROUND: Diastolic dysfunction is common in patients with aortic stenosis and may influence outcomes following surgical aortic valve replacement. W...

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 between this and chronological age, retinal age g...

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

Precision medicine has revolutionized oncology by leveraging biomarkers for individualized therapy selection, early diagnosis, and real-time disease m...

Real-Time Dynamic Prediction of Mortality and Renal Replacement Therapy After Cardiac Surgery Using a Time-Series Deep Learning Model.

OBJECTIVE: Predicting postoperative deterioration following cardiac surgery remains challenging. Conventional risk scores rely on static variables and...

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 for postoperative stone-free status (SFS) specifica...

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 propose a model, DyAb, that addresses these issue...

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 high theoretical capacity, low operating potential,...

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 danshensu (SDSS) in renal ischemia-reperfusion (RIR) i...

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 remodeling and long-term cardiovascular outcomes in childre...

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 complication in critically ill patients. Current diagnosti...

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 echocardiography referral in community-based patien...

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) patients who experience a three- to four-fold higher ri...