Results 71 to 80 of about 1,749,999 (379)
Is “chronic kidney disease” a disease? [PDF]
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
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
Prediction of Chronic Kidney Disease Using Deep Neural Network [PDF]
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
Dose of colistin. a work in progress? [PDF]
We thank Rashid and colleagues [1] and Honoré and colleagues [2] for their comments regarding our article on risk factors for acute kidney injury in pa- tients receiving colistin or other nephrotoxic antimi- crobials [3].
Antonelli, M.+3 more
core +1 more source
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
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
Background The Geriatric Nutritional Risk Index (GNRI) is a nutritional screening method primarily developed for elderly people; it is also reported to be useful for predicting mortality in patients on maintenance dialysis. However, it is unclear whether
Akihito Tanaka+4 more
doaj +1 more source
Objectives This study aimed to analyze the possible causes of changes in cardiac function and investigate the feasibility of clinical assessment of gastrointestinal cancer in patients with or without acute kidney injury (AKI) assessed using a non ...
Huihui Chen+13 more
doaj +1 more source
Lightweight Framework for Automated Kidney Stone Detection using coronal CT images [PDF]
Kidney stone disease results in millions of annual visits to emergency departments in the United States. Computed tomography (CT) scans serve as the standard imaging modality for efficient detection of kidney stones. Various approaches utilizing convolutional neural networks (CNNs) have been proposed to implement automatic diagnosis of kidney stones ...
arxiv
Effect of mineralocorticoid receptor antagonists on proteinuria and progression of chronic kidney disease: a systematic review and meta-analysis [PDF]
Background: Hypertension and proteinuria are critically involved in the progression of chronic kidney disease. Despite treatment with renin angiotensin system inhibition, kidney function declines in many patients.
Boesby, Lene+16 more
core +2 more sources