Results 71 to 80 of about 117,699 (379)

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  

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  

Weaning of immunosuppression in liver transplant recipients [PDF]

open access: yes, 1997
Immunosuppression has been sporadically discontinued by noncompliant liver allograft recipients for whom an additional 4 1/2 years of follow-up is provided.
Anand   +26 more
core   +1 more source

Rare Combination of Phenotypes of Karyomegalic Interstitial Nephritis and Autosomal Recessive Polycystic Kidney Disease in an Omani Child

open access: yesOman Medical Journal
Autosomal recessive polycystic kidney disease is one of the most prevalent inherited cystic kidney diseases in infants and children, common in highly consanguineous societies such as Oman. Karyomegalic interstitial nephritis is a rare cause of hereditary
Intisar Al Alawi   +6 more
doaj   +1 more source

Self‐Administered Taste Testing Without Water: Normative Data for the 53‐Item Waterless Empirical Taste Test (WETT)

open access: yesInternational Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background According to the National Health and Nutrition Examination Survey (NHANES), more than 20 million Americans suffer from chronic taste problems. Unfortunately, quantitative testing is rarely performed, self‐reports are inaccurate, and “taste” is often confused with olfaction‐dependent flavors.
Richard L. Doty   +2 more
wiley   +1 more source

Lightweight Framework for Automated Kidney Stone Detection using coronal CT images [PDF]

open access: yesarXiv, 2023
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  

A systems-biology approach to understanding the ciliopathy disorders. [PDF]

open access: yes, 2011
'Ciliopathies' are an emerging class of genetic multisystemic human disorders that are caused by a multitude of largely unrelated genes that affect ciliary structure/function.
Gleeson, Joseph G, Lee, Ji Eun
core   +1 more source

Human Cervix Chip: A Preclinical Model for Studying the Role of the Cervical Mucosa and Microbiome in Female Reproductive Health

open access: yesBioEssays, EarlyView.
The microfluidic Cervix Chip is an in vitro model of the human cervix lined by cervical epithelium interfaced with stromal cells cultured under dynamic flow that represents a new preclinical platform for studying mucosal immunity, host‐microbiome interactions, infections, fertility, and pregnancy health.
Zohreh Izadifar   +4 more
wiley   +1 more source

Nephrectomy for a case of intrarenal dermoid cyst: was it an appropriate decision? [PDF]

open access: yes, 2011
Dermoid cyst in a kidney is rarely seen. We report a case of intrarenal dermoid cyst which mimics malignant renal tumour and discuss the dilemma in managing this ...
Badrulhisham B,   +6 more
core  

Measuring the burden of treatment for chronic disease: implications of a scoping review of the literature [PDF]

open access: yes, 2017
Background: Although there has been growing research on the burden of treatment, the current state of evidence on measuring this concept is unknown.
Mair, Frances S.   +3 more
core   +3 more sources

Home - About - Disclaimer - Privacy