Results 241 to 250 of about 303,943 (292)

Bone Phenotype in Autosomal Dominant Polycystic Kidney Disease. [PDF]

open access: yesCalcif Tissue Int
Jankowska M   +9 more
europepmc   +1 more source

Text mining for case report articles on “peritoneal dialysis” from PubMed database

open access: yesTherapeutic Apheresis and Dialysis, Volume 29, Issue 3, Page 459-470, June 2025.
Abstract Introduction The number of published medical articles on peritoneal dialysis (PD) has been increasing, and efficiently selecting information from numerous articles can be difficult. In this study, we examined whether artificial intelligence (AI) text mining can be a good support for efficiently collecting PD information.
Kazuhiko Fukushima   +6 more
wiley   +1 more source

Chronic kidney disease induces distinct alterations of macrophage lipid metabolism in a mouse model of atherosclerosis. [PDF]

open access: yesJ Lipid Res
Saum K   +7 more
europepmc   +1 more source

Analysis of the Global Burden of Disease study highlights the global, regional, and national trends of chronic kidney disease epidemiology from 1990 to 2016 [PDF]

open access: yes, 2018
Al-Aly, Ziyad   +9 more
core   +1 more source

Unpacking China's Digital Ascent in the Global South: The Case of Huawei in North Africa

open access: yesGlobal Policy, EarlyView.
ABSTRACT Despite frequent concerns in Western policy and media circles about the risks of using Chinese telecommunications suppliers, firms like Huawei have encountered little resistance from governments or citizens in the Global South. Empirical research explaining this acceptance remains limited.
Tin Hinane El Kadi
wiley   +1 more source

Chronic kidney disease (stages 3-5) in children at Chris Hani Baragwanath Academic Hospital, 2000-2019. [PDF]

open access: yesBMC Nephrol
Ngubane-Mwandla N   +4 more
europepmc   +1 more source

Machine Learning‐Based Prediction of Life‐Threatening Complications During Hemodialysis in Hospitalized Patients With Poor General Conditions

open access: yesArtificial Organs, EarlyView.
A machine learning model using predialysis data predicted sudden events during or after hemodialysis with high accuracy (auROC: 0.889). The key predictors included emergency hospitalization, recent surgery, high heart rate, low albumin levels, and high CRP.
Naotaka Kato   +11 more
wiley   +1 more source

Driveline Infections Among Patients Supported With Left Ventricular Assist Devices: A Single Center Sixteen‐Year Longitudinal Profile

open access: yesArtificial Organs, EarlyView.
Our study of 1026 LVAD implants revealed HeartWare had lower driveline infection rates than other LVAD types. In addition, severe diabetes was associated with higher risk, while older age and coronary artery disease were linked to a lower risk of driveline infections.
Anh Nguyen   +6 more
wiley   +1 more source

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