Results 21 to 30 of about 9,152,470 (385)

Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis [PDF]

open access: yes, 2022
Prognostication of medical problems using the clinical data by leveraging the Machine Learning techniques with stellar precision is one of the most important real world challenges at the present time. Considering the medical problem of Polycystic Ovary Syndrome also known as PCOS is an emerging problem in women aged from 15 to 49.
arxiv   +1 more source

Early impairment of endothelial structure and function in young normal-weight women with polycystic ovary syndrome [PDF]

open access: yes, 2004
The aim of this study was to evaluate the presence of early vascular damage in young normal-weight women with polycystic ovary syndrome (PCOS).Thirty young normal-weight women with PCOS, who had no additional metabolic or cardiovascular diseases, and 30 ...
B. De Simone   +9 more
core   +1 more source

Dual mTOR/PI3K inhibition limits PI3K-dependent pathways activated upon mTOR inhibition in autosomal dominant polycystic kidney disease [PDF]

open access: yes, 2018
Autosomal dominant polycystic kidney disease (ADPKD) is characterized by the development of kidney cysts leading to kidney failure in adulthood. Inhibition of mammalian target of rapamycin (mTOR) slows polycystic kidney disease (PKD) progression in ...
Arcaro, Alexandre   +10 more
core   +2 more sources

Participant Perceptions in a Long-term Clinical Trial of Autosomal Dominant Polycystic Kidney Disease

open access: yesKidney Medicine, 2023
Rationale & Objective: The development of new therapies for autosomal dominant polycystic kidney disease requires clinical trials to be conducted efficiently. In this study, the factors affecting the recruitment and retention of participants enrolled
Sneha Amin   +23 more
doaj  

Inverting the patient involvement paradigm: defining patient led research

open access: yesResearch Involvement and Engagement, 2018
Plain English Summary Patients usually understand their disease and lifestyle needs better than many medical professionals. They also have important ideas about what research would be most beneficial to their lives, especially on how to manage symptoms ...
Laura B. Mader   +4 more
doaj   +1 more source

Association between circulating adiponectin levels and polycystic ovarian syndrome [PDF]

open access: yes, 2014
Background: Low adiponectin levels in polycystic ovarian syndrome (PCOS) have been largely attributed to obesity which is common among these patients. In addition, evidence also suggests that low adiponectin in PCOS may be related to insulin resistance (
Khan, Naveed Ali   +4 more
core   +3 more sources

Modelling polycystic liver disease progression using age-adjusted liver volumes and targeted mutational analysis

open access: yesJHEP Reports, 2022
Background & Aims: Polycystic liver disease (PLD) manifests as numerous fluid-filled cysts scattered throughout the liver parenchyma. PLD most commonly develops in females, either as an extra-renal manifestation of autosomal-dominant polycystic ...
Dana Sierks   +10 more
doaj  

International consensus statement on the diagnosis and management of autosomal dominant polycystic kidney disease in children and young people

open access: yesNature Reviews Nephrology, 2019
These recommendations were systematically developed on behalf of the Network for Early Onset Cystic Kidney Disease (NEOCYST) by an international group of experts in autosomal dominant polycystic kidney disease (ADPKD) from paediatric and adult nephrology,
C. Gimpel   +23 more
semanticscholar   +1 more source

p21 is decreased in polycystic kidney disease and leads to increased epithelial cell cycle progression: roscovitine augments p21 levels. [PDF]

open access: yes, 2007
BackgroundAutosomal dominant polycystic kidney disease (ADPKD) is a common genetic disease with few treatment options other than renal replacement therapy. p21, a cyclin kinase inhibitor which has pleiotropic effects on the cell cycle, in many cases acts
Anderson, Sharon   +6 more
core   +3 more sources

Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification [PDF]

open access: yes, 2022
Many complex Deep Learning models are used with different variations for various prognostication tasks. The higher learning parameters not necessarily ensure great accuracy. This can be solved by considering changes in very deep models with many regularization based techniques.
arxiv   +1 more source

Home - About - Disclaimer - Privacy