Results 71 to 80 of about 552,750 (375)

Persistent High Level of Urinary Tumor Marker Carbohydrate Antigen 19-9 in Prenatally Diagnosed Dysplastic Kidney

open access: yesCase Reports in Urology, 2014
Tumor marker carbohydrate antigen 19-9 (CA 19-9) level has gained clinical significance in gastrointestinal malignancies and in various solid and cystic diseases.
Reza Khorramirouz   +3 more
doaj   +1 more source

Having Multiple Renal Cysts in a Young Adult is Not Always a Sign of Polycystic Kidney Disease

open access: yesBalkan Journal of Medical Genetics, 2022
Multiple renal cysts in adult patients could have asymptomatic, benign and a nonprogressive course. However, these cysts could be renal features of a very rare hereditary, progressive syndrome defined as cranioectodermal dysplasia (CED or Sensenbrenner ...
Kaynar K   +3 more
doaj   +1 more source

Abnormal DNA Methylation Profile Suggests the Extension of the Clinical Spectrum of the SETD2‐Related Disorders to a Syndromic Multiple Tumor Phenotype

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT SETD2 has an essential role in epigenetic regulation. SETD2 pathogenic variants cause neurodevelopmental disorders (SETD2‐NDDs) that most commonly include various degrees of intellectual disability and behavioral disorders, macrocephaly, brain malformations, and generalized overgrowth.
Marie Lucain   +11 more
wiley   +1 more source

Tumors in von Hippel–Lindau Syndrome: From Head to Toe—Comprehensive State-of-the-Art Review [PDF]

open access: yes, 2018
Von Hippel–Lindau syndrome (VHL) is an autosomal-dominant hereditary tumor disease that arises owing to germline mutations in the VHL gene, located on the short arm of chromosome 3.
Bhalla, Sanjeev   +6 more
core   +1 more source

Worth the Effort: Lessons for Discovery and Care From an Unusual Case of Gorlin Syndrome

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Gorlin‐Goltz Syndrome (GGS) is a rare autosomal dominant genetic disorder encompassing a diverse range of clinical manifestations, including congenital anomalies and predisposition to cancer. Pathogenic variants in PTCH1 and SUFU account for up to 79% and 6% of cases, respectively. Currently, an estimated 15%–27% of individuals with a clinical
V. Taliercio   +13 more
wiley   +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  

Systematic review of transition models for young people with long-term conditions: A report for NHS Diabetes. [PDF]

open access: yes, 2013
Aims For many young people with Type 1 diabetes, transition from paediatric to adult care can result in a marked deterioration in glycaemic control.
Bagnall, A, Day, R, Kime, NH
core  

Mechanical Instabilities of Biological Tubes

open access: yes, 2012
We study theoretically the shapes of biological tubes affected by various pathologies. When epithelial cells grow at an uncontrolled rate, the negative tension produced by their division provokes a buckling instability.
A. P. Evan   +9 more
core   +1 more source

Effect of ovariectomy on the progression of chronic kidney disease-mineral bone disorder (CKD-MBD) in female Cy/+ rats [PDF]

open access: yes, 2019
Male Cy/+ rats have shown a relatively consistent pattern of progressive kidney disease development that displays multiple key features of late stage chronic kidney disease-mineral bone disorder (CKD-MBD), specifically the development of cortical bone ...
Allen, Matthew R.   +7 more
core   +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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