Nephrology

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

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Investigating the global prevalence and consequences of undiagnosed stage 3 chronic kidney disease: methods and rationale for the REVEAL-CKD study.

BACKGROUND: Timely diagnosis and treatment of stage 3 chronic kidney disease (CKD) can prevent furth...

Associations between depressive symptoms and disease progression in older patients with chronic kidney disease: results of the EQUAL study.

BACKGROUND: Depressive symptoms are associated with adverse clinical outcomes in patients with end-s...

Living Donor Robot-Assisted Kidney Transplantation: a New Standard of Care?

PURPOSE OF REVIEW: Robot-assisted kidney transplantation (RAKT) has the potential to combine the adv...

Joint Deep-Learning-Enabled Impact of Holistic Care on Line Coagulation in Hemodialysis.

In order to investigate the impact of holistic care on line coagulation and safety in hemodialysis a...

MBANet: Multi-branch aware network for kidney ultrasound images segmentation.

Due to the influence of kidney morphology, heterogeneous structure and image quality, segmenting kid...

Elevated Levels of Urinary Biomarkers TIMP-2 and IGFBP-7 Predict Acute Kidney Injury in Neonates after Congenital Heart Surgery.

 This article investigated the utility of urine biomarkers tissue inhibitor of metalloproteinase-2 ...

Precision medicine for the treatment of glomerulonephritis: a bold goal but not yet a transformative achievement.

The revolution in our ability to recognize the alterations in fundamental biology brought about by d...

Potential Surrogate Outcomes for Kidney Failure in Advanced CKD: Evaluation of Power and Predictive Ability in CKDopps.

RATIONALE & OBJECTIVE: Potential surrogate end points for kidney failure have been proposed in chron...

Native BK virus nephropathy in lung transplant: a case report and literature review.

Classically described in renal allografts, BK virus nephropathy is increasingly recognized in native...

Explainable Biomarkers for Automated Glomerular and Patient-Level Disease Classification.

Pathologists use multiple microscopy modalities to assess renal biopsy specimens. Besides usual diag...

A stratified analysis of a deep learning algorithm in the diagnosis of diabetic retinopathy in a real-world study.

BACKGROUND: The aim of our research was to prospectively explore the clinical value of a deep learni...

Robotic donor hepatectomy: A major breakthrough in living donor liver transplantation.

Living donation in many countries is the main resource of organs. Healthy, volunteering individuals ...

Systems biology and machine learning approaches identify drug targets in diabetic nephropathy.

Diabetic nephropathy (DN), the leading cause of end-stage renal disease, has become a massive global...

Corticosteroids and mycophenolic acid analogues in immunoglobulin A nephropathy with progressive decline in kidney function.

BACKGROUND: A randomized controlled trial demonstrated a beneficial effect of corticosteroids (CS) +...

Automatic Evaluation of Histological Prognostic Factors Using Two Consecutive Convolutional Neural Networks on Kidney Samples.

BACKGROUND AND OBJECTIVES: The prognosis of patients undergoing kidney tumor resection or kidney don...

Comparative Analysis for Prediction of Kidney Disease Using Intelligent Machine Learning Methods.

Chronic kidney disease (CKD) is a major burden on the healthcare system because of its increasing pr...

Forecasting of Patient-Specific Kidney Transplant Function With a Sequence-to-Sequence Deep Learning Model.

IMPORTANCE: Like other clinical biomarkers, trajectories of estimated glomerular filtration rate (eG...

The association of rs187238, rs19465518 and rs1946519 IL-8 polymorphisms with acute kidney injury in preterm infants.

BACKGROUND: Interleukin 18 (IL-18) promoter polymorphisms (-656G > T, -607C > A, and -137G > C) affe...

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