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The kidneys are intricate organs with millions of working units known as nephrons. Each nephron features two major structures: the renal corpuscle, which facilitates blood plasma filtration, and the renal tubule, which handles the glomerular filtrate. Blood supply is directly linked to the nephrons. The renal corpuscle consists of the glomerulus, a capillary network, and the Bowman's capsule, a double-walled epithelial structure that encases the glomerulus. The filtering of blood plasma...
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The renin-angiotensin-aldosterone system (RAAS) is an intricate physiological pathway involving numerous enzymes and hormones, including renin, angiotensin-converting enzyme (ACE), angiotensin I and II, and aldosterone. Imbalances within this system increase the production of angiotensin II and aldosterone. Increased angiotensin II levels promote vasoconstriction and blood pressure elevation. Concurrently, higher aldosterone levels stimulate sodium and water reabsorption in the kidneys,...
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Renal dysfunction significantly impairs the renal clearance of drugs, leading to potential complications in drug therapy. Renal failure, which can be caused by various factors, poses a significant challenge in the elimination of drugs from the body.
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How artificial intelligence is transforming nephrology.

Miguel Hueso1,2, Alfredo Vellido3,4

  • 1Department of Nephrology, Hospital Universitari Bellvitge and Bellvitge Research Institute (IDIBELL), L'Hospitalet de Llobregat, C/Feixa llarga, s/n, Barcelona, 08907, Spain. mhueso@idibell.cat.

BMC Nephrology
|August 27, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) and machine learning (ML) offer powerful tools for data-centric nephrology research, analyzing complex molecular systems and patient data. However, translating these AI advancements into clinically useful applications requires explainable methods and addressing the digital divide.

Area of Science:

  • Nephrology
  • Computational Biology
  • Medical Informatics

Background:

Keywords:
Artificial IntelligenceBioengineered organsData ScienceDigital PathologyDigital TwinsEthicsLarge Language modelsMachine learningNephrologyPrecision Medicine

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  • Nephrology research increasingly focuses on complex molecular systems, pathology, and therapeutics like dialysis and transplantation.
  • Advances in omics, sensorization, and digital devices generate vast, data-intensive research.
  • Data-centric science necessitates powerful computational tools for novel biomarkers and therapeutic targets.