#Fekrat elyoum software#
#Fekrat elyoum trial#
#Fekrat elyoum download#

#Fekrat elyoum trial#

A larger, randomized, multiarmed clinical trial evaluating the effects of pentoxifylline as an adjunctive treatment modality may be of benefit since even a small positive effect in altering the natural history of CME related to CRVO may be of value for these patients. Bruce Fekrat is a Chief Counsel & Office of Kristin N Johnson Commissioner at Commodity Futures Trading Commission based in Washington, District of Columbia. Visual acuity does not appear to change significantly. Pentoxifylline has a favorable adverse effect profile, and can reduce CME in eyes with CRVO.

One patient had mild gastrointestinal disturbance.

There were no significant side effects from pentoxifylline. The visual acuity was not significantly changed at 62 letters (20/128 +2) (Student t-test, P = 0.7) at last follow-up. Cystoid macular edema had improved in 64% (7/11) of eyes at last follow-up as measured by biomicroscopy and optical coherence tomography. The mean follow-up period was 8 months (range, 2.7-16.5 months). The mean duration of pentoxifylline use was 5.3 months (range, 2.5-10.2 months). Sharon Fekrat MD FACS FASRS - Professor of Ophthalmology Professor of Neurology Associate Professor of Surgery - Duke University School of Medicine LinkedIn Sharon Fekrat MD FACS FASRS.

#Fekrat elyoum download#

Download Arabic songs online from JioSaavn. Fakrt Tol Elyoum, from the album New Year Compilation, was released in the year 2014. The mean time from onset of CRVO to start of pentoxifylline therapy was 5 months (range, 1-12 months). Fakrt Tol Elyoum is an Arabic language song and is sung by Jannat. Skilled in c (programming language), SQL.

#Fekrat elyoum software#

The mean best-corrected Early Treatment Diabetic Retinopathy Study visual acuity was 60 letters (Snellen equivalent 20/128) before the initiation of oral pentoxifylline. Team player with strong programming and software developer skills. Statistical analysis of collected data was performed.Įleven patients were identified. Exclusion criteria included nonperfused or indeterminate CRVO, the presence of neovascularization, and previous or concurrent laser therapy or any other treatment for CRVO. Inclusion criteria included CME, pentoxifylline use for at least 1 month, and a follow-up period of at least 4 months. Retrospective chart review of consecutive patients on pentoxifylline (400 mg po TID) for CRVO was performed. Published by BMJ.To determine whether oral pentoxifylline, a xanthine-derived hemorheologic agent, decreases cystoid macular edema (CME) and improves visual acuity in eyes with a perfused central retinal vein occlusion (CRVO). Models including only images performed similarly to models also including quantitative data and patient data.ĭiagnostic tests/investigation imaging retina.

Facebook gives people the power to share. Join Facebook to connect with Fekrat Jmo and others you may know. GC-IPL maps were the most useful single inputs for prediction. View the profiles of people named Fekrat Jmo. Our CNN used multimodal retinal images to successfully predict diagnosis of symptomatic AD in an independent test set. GC-IPL maps, quantitative data and patient data AUC 0.841 (95% CI 0.739, 0.943). A model incorporating all images, quantitative data and patient data (AUC 0.836 (CI 0.729, 0.943)) performed similarly to models only incorporating all images (AUC 0.829 (95% CI 0.719, 0.939)). Area under the receiving operating characteristic curve (AUC) values for predicted probability of AD for the independent test set varied by input used: UWF colour AUC 0.450 (95% CI 0.282, 0.592), OCTA SCP 0.582 (95% CI 0.440, 0.724), UWF FAF 0.618 (95% CI 0.462, 0.773), GC-IPL maps 0.809 (95% CI 0.700, 0.919). A CNN to predict AD diagnosis was developed using multimodal retinal images, OCT and OCTA quantitative data, and patient data.Ģ84 eyes of 159 subjects (222 eyes from 123 cognitively healthy subjects and 62 eyes from 36 subjects with AD) were used to develop the model. To develop a convolutional neural network (CNN) to detect symptomatic Alzheimer's disease (AD) using a combination of multimodal retinal images and patient data.Ĭolour maps of ganglion cell-inner plexiform layer (GC-IPL) thickness, superficial capillary plexus (SCP) optical coherence tomography angiography (OCTA) images, and ultra-widefield (UWF) colour and fundus autofluorescence (FAF) scanning laser ophthalmoscopy images were captured in individuals with AD or healthy cognition.