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Related Concept Videos

Chronic Kidney Disease III: Interprofessional Care01:28

Chronic Kidney Disease III: Interprofessional Care

Chronic kidney disease (CKD) requires collaborative and comprehensive management. CKD progresses through stages and can lead to end-stage kidney disease (ESKD) if untreated. Interprofessional collaboration and patient education are crucial, enabling patients to manage their health and improve their quality of life.Diagnostic approach for chronic kidney diseaseThe diagnosis of CKD primarily focuses on the glomerular filtration rate (GFR), which assesses kidney function by measuring how well...
Chronic Kidney Disease I: Introduction01:25

Chronic Kidney Disease I: Introduction

Chronic Kidney Disease (CKD) arises when the kidneys progressively lose their ability to function, ultimately leading to end-stage renal disease. At this advanced stage, the kidneys can no longer filter waste or maintain essential body functions, requiring renal replacement therapy (RRT) through dialysis or a kidney transplant for survival.Early-stage chronic kidney disease and detection challengesIn CKD's early stages, symptoms often remain absent because healthy nephrons compensate for...
Chronic Kidney Disease II: Clinical Manifestations01:24

Chronic Kidney Disease II: Clinical Manifestations

Chronic Kidney Disease (CKD) progressively impairs multiple body systems due to the accumulation of uremic toxins, which disrupt cellular functions across various organs.Neurologic symptomsNeurologic symptoms often arise early in CKD, as uremic toxin buildup drives changes in cognitive and motor functions. Patients frequently experience fatigue, headache, confusion, difficulty concentrating, and, in severe cases, seizures. Peripheral neuropathy commonly manifests as burning sensations in the...
Acute Kidney Injury IV: Diagnostic Studies and Prevention01:30

Acute Kidney Injury IV: Diagnostic Studies and Prevention

Accurate diagnosis and effective prevention are critical in managing Acute Kidney Injury (AKI), which is linked to high mortality rates ranging from 10% to 80%. Timely recognition of at-risk patients and careful monitoring can significantly reduce the likelihood of kidney damage.Diagnostic Assessments:The diagnostic process starts with a comprehensive medical history to identify prerenal, intrarenal, and postrenal causes.Prerenal causes, such as dehydration, hypotension, or blood loss, should...
Chronic Kidney Disease IV: Nursing Management01:18

Chronic Kidney Disease IV: Nursing Management

Nursing management is essential for preventing complications, maintaining stability, and improving patients' quality of life in chronic kidney disease (CKD). By using a structured approach, nurses help slow CKD progression and support effective patient care​.1. Comprehensive patient assessmentEffective management begins with nurses reviewing the patient’s medical history, and identifying key risk factors like diabetes, hypertension, and nephrotoxic drug use. Nurses assess signs of fluid...
Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

Imaging Studies I: Kidney, Ureter, and Bladder Studies

Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...

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Updated: Jul 16, 2026

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
09:16

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

Multi-Modal, Machine Learning-Driven Framework Integrating Multi-Omics for Personalized Chronic Kidney Disease

Bartosz Rutka1, Alicja Danieluk1, Natalia Wiewiórska-Krata2

  • 1Department of Transplantology, Immunology, Nephrology and Internal Diseases, Medical University of Warsaw, 02-006 Warsaw, Poland.

Journal of Clinical Medicine
|July 15, 2026
PubMed
Summary

Chronic kidney disease (CKD) affects millions globally, with cases rising significantly. Precision medicine, using multi-omics, offers new hope for earlier detection and personalized treatment strategies for kidney dysfunction.

Keywords:
biomarkerschronic kidney diseaseglomerulonephritismachine learningmulti-omicspersonalized therapyprecision medicine

Related Experiment Videos

Last Updated: Jul 16, 2026

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
09:16

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

Area of Science:

  • Nephrology
  • Genomics
  • Proteomics

Background:

  • Chronic kidney disease (CKD) is a growing global health concern, impacting 14% of the world's population.
  • CKD cases have nearly doubled between 1990 and 2021, with projections indicating it may become the fifth leading cause of death by 2040.
  • Etiologies of CKD are diverse, including diabetes, hypertension, obesity, glomerulonephritis, genetic disorders, and tubulointerstitial diseases.

Purpose of the Study:

  • To review the shift towards precision medicine in nephrology.
  • To highlight the importance of early CKD detection and diagnosis.
  • To discuss the role of multi-omics profiling in advancing kidney disease diagnosis and treatment.

Main Methods:

  • Review of current literature on CKD diagnosis and treatment.
  • Exploration of multi-omics profiling techniques (genomics, transcriptomics, proteomics, metabolomics).
  • Analysis of the transition from traditional to precision medicine in nephrology.

Main Results:

  • Multi-omics profiling provides specific molecular signatures for CKD.
  • These signatures aid in patient stratification for tailored treatment and follow-up.
  • Early detection and diagnosis are critical for managing kidney disease and preventing end-stage organ failure.

Conclusions:

  • Precision medicine represents a fundamental transformation in nephrology.
  • Advanced profiling technologies are essential for accurate and rapid assessment of kidney dysfunction.
  • The integration of multi-omics data will enhance personalized patient care for CKD.