Results 91 to 100 of about 10,805,577 (430)

Is “chronic kidney disease” a disease? [PDF]

open access: yesJournal of Evaluation in Clinical Practice, 2018
AbstractSeveral philosophers of medicine have attempted to answer the question “what is disease?” In current clinical practice, an umbrella term “chronic kidney disease” (CKD) encompasses a wide range of kidney health states from commonly prevalent subclinical, asymptomatic disease to rare end‐stage renal disease requiring transplant or dialysis to ...
Smart, B, Stevens, R, Verbakel, J
openaire   +4 more sources

Obesity alters the fitness of peritumoral adipose tissue, exacerbating tumor invasiveness in renal cancer through the induction of ADAM12 and CYP1B1

open access: yesMolecular Oncology, EarlyView.
Tumor microenvironment drives cancer formation and progression. We analyzed the role of human cancer‐associated adipocytes from patients with renal cell carcinoma (RCC) stratified as lean, overweight, or obese. RNA‐seq demonstrated that, among the most altered genes involved in the tumor–stroma crosstalk, are ADAM12 and CYP1B1, which were proven to be ...
Sepehr Torabinejad   +13 more
wiley   +1 more source

Ultrasound-guided renal subcapsular transplantation of mesenchymal stem cells for treatment of acute kidney injury in a minipig model: safety and efficacy evaluation

open access: yesStem Cell Research & Therapy
Background Acute kidney injury (AKI) is a major global public health concern with limited treatment options. While preclinical studies have suggested the potential of mesenchymal stem cells (MSCs) to repair and protect injured kidneys in AKI, clinical ...
Tuo Xiao   +9 more
doaj   +1 more source

Ultrasound enhances the therapeutic potential of mesenchymal stem cells wrapped in greater omentum for aristolochic acid nephropathy

open access: yesStem Cell Research & Therapy, 2021
Background Mesenchymal stem cells (MSCs) have been reported to promote regeneration in both subjects with acute kidney injury (AKI) and chronic kidney disease (CKD), but their efficacy remains limited, probably because most of the cells accumulate in the
Yuanjun Yang   +7 more
doaj   +1 more source

Deep Learning for Polycystic Kidney Disease: Utilizing Neural Networks for Accurate and Early Detection through Gene Expression Analysis [PDF]

open access: yesarXiv, 2023
With Polycystic Kidney Disease (PKD) potentially leading to fatal complications in patients due to the formation of cysts in kidneys, early detection of PKD is crucial for effective management of the condition. However, the various patient-specific factors that play a role in the diagnosis make it an intricate puzzle for clinicians to solve, leading to
arxiv  

Autophagy in Chronic Kidney Diseases

open access: yesCells, 2019
Autophagy is a cellular recycling process involving self-degradation and reconstruction of damaged organelles and proteins. Current evidence suggests that autophagy is critical in kidney physiology and homeostasis.
Tien-An Lin, V. Wu, Chao-Yung Wang
semanticscholar   +1 more source

Transplantation in children [PDF]

open access: yes, 1976
Kidney transplantation in very young children, less than 2 years of age, has usually failed, mainly because of difficulties maintaining these patients on hemodialysis long enough to permit retransplantation after loss of the original graft.
Charles W. Putnam   +15 more
core   +1 more source

Chronic Kidney Disease [PDF]

open access: yesAnnals of Internal Medicine, 2009
This issue provides a clinical overview of chronic kidney disease, focusing on prevention, diagnosis, treatment, and patient information. The content of In the Clinic is drawn from the clinical information and education resources of the American College of Physicians (ACP), including ACP Smart Medicine and MKSAP (Medical Knowledge and Self-Assessment ...
Paul E. Drawz, Mahboob Rahman
openaire   +4 more sources

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

open access: yesMolecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran   +16 more
wiley   +1 more source

Prediction of Chronic Kidney Disease Using Deep Neural Network [PDF]

open access: yesarXiv, 2020
Deep neural Network (DNN) is becoming a focal point in Machine Learning research. Its application is penetrating into different fields and solving intricate and complex problems. DNN is now been applied in health image processing to detect various ailment such as cancer and diabetes.
arxiv  

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