Nephrology

EJHF expert consensus statement on the diagnosis and management of hypertrophic cardiomyopathy.

Hypertrophic cardiomyopathy (HCM) is the most prevalent genetic cardiac disease and a leading cause of heart failure, arrhythmia, and sudden cardiac death in both young and older adults. This consensus document was developed by a multidisciplinary panel of European and U.S. experts in HCM, imaging, electrophysiology, genetics, and heart failure. While it aligns with the 2023 ESC and 2024 AHA/ACC g...

Beyond binary AKI classification: development and external validation of a distributional model predicting serum creatinine and urine output trajectories in ICU patients.

BACKGROUND: Acute kidney injury (AKI) is a frequent, severe complication in the intensive care units (ICU). Existing machine learning models are typically inflexible, classification-based (i.e., predicting AKI occurrence as yes/no), and of limited clinical utility. This study proposes and externally validates the first multi-step, multivariate distributional regression model that directly predicts...

Precision theranostics in oncology: integrating antibody-drug conjugates, radioimmunotherapy, and immuno‑PET for adaptive cancer care.

The century-old vision of a "magic bullet" in oncology is being realized through the paradigm of precision theranostics, which formally integrates tar...

[Driver gene mutations predicted by pathology-foundation-model and their clinical associations in clear cell renal cell carcinoma].

Objective: To evaluate the performance of a deep learning framework based on the PathOrchestra pathology foundation model for predicting key driver ge...

Deep learning prediction of nocturnal hypertension for patients intolerant to ambulatory blood pressure monitoring.

BACKGROUND: Ambulatory blood pressure monitoring (ABPM) plays an irreplaceable role in the diagnosis and management of hypertension. However, more tha...

Deep learning models for acute kidney injury prediction: multi-center external validation and evaluation under simulated continuous monitoring conditions.

Acute kidney injury (AKI) is a common hospital complication with substantial morbidity and mortality. Deep learning models for AKI prediction show str...

Plasma proteomic profiles reveal proteins and characteristic patterns associated with hypertension: A prospective cohort study.

BACKGROUND: Longitudinal proteomic studies on hypertension remain scarce. We evaluated the epidemiological associations of circulating proteins with h...

Managing multidrug resistant Gram-negative bacteraemia in immunocompromised hosts.

PURPOSE OF REVIEW: Multidrug-resistant Gram-negative bloodstream infections (MDR-GNBSI) are increasingly frequent in immunocompromised hosts, particul...

[Chapter 6. Ethical issues in transplant matching].

This contribution examines the ethical issues that arise when organ-patient matching is performed using algorithmic matching. The first part reviews t...

Electrolyte Additives as Pathway Selectors in Early SEI Formation.

Electrolyte additives such as fluoroethylene carbonate (FEC) and vinylene carbonate (VC) improve lithium-ion battery performance, yet whether they shi...

Quantifying ergonomic challenges for urologists operating flexible ureteroscopes through artificial intelligence-based posture estimation.

PURPOSE: The ergonomic challenges faced by surgeons during flexible ureteroscopy have yet to be thoroughly evaluated using objective methods. However,...

Integrating single-cell multi-omics and machine learning to reveal triaptosis heterogeneity in clear cell renal cell carcinoma.

Triaptosis, an emerging form of cell death, remains poorly characterized in terms of its heterogeneity within clear cell renal cell carcinoma (ccRCC)....

The sleeping kidney: microRNA expression profiling of kidney tissue during daily torpor in mice.

MicroRNA (miRNA), a class of short non-coding RNA, serves as a metabolically cheap and fast acting mechanism to inhibit translation of complementary m...

Multi-omics identification of aging-related diagnostic genes and therapeutic targets in renal fibrosis.

BACKGROUND: Renal fibrosis is a pathological hallmark of progressive chronic kidney disease, partly driven by aging-related molecular alterations. How...

Deep Learning Morphometric Analysis on Protocol Biopsies Predicts Future Graft Function.

INTRODUCTION: The predictive value of Banff classification in protocol transplant biopsies without specific lesions is limited. Morphometry provides p...

EXPRESS: Diagnostic Value of Short-Term Longitudinal Clinical and Laboratory Trajectories for Gram-Negative Bacteremia in ICU Patients.

Early identification of gram-negative bacteremia in intensive care units (ICUs) remains challenging at the time of blood culture sampling, when clinic...

Molecular skeleton programming of premediators in sulfur electrochemistry.

Molecular mediators have demonstrated broad applicability in electrolyte chemistry of lithium-sulfur batteries, transforming sulfur conversion from tr...

Research progress on biomarkers for acute kidney injury in children.

Pediatric acute kidney injury (AKI) often presents insidiously and progresses rapidly. Traditional diagnostic criteria based on serum creatinine and u...

Non-small Cell Lung Cancer in Metastatic Renal Cell Carcinoma Patients.

INTRODUCTION: Renal cell carcinoma (RCC) most commonly metastasizes to the lungs and shares risk factors with lung cancer. However, primary lung cance...

Use of Machine-Learning Models to Identify Clinical Features Associated With A Future Clinical Worsening Event in Patients With Pulmonary Arterial Hypertension.

Clinical worsening events are increasingly recognized as a meaningful outcome in pulmonary arterial hypertension (PAH). We applied machine-learning mo...