Publications by authors named "Andreea Udrea"

The worldwide reduction in the use of antibiotics in animal feed is fueling the need for alternatives for the prevention and control of poultry intestinal diseases such as necrotic enteritis (NE), which is caused by . This is the first report on the use of an intestinal epithelial chicken cell line (CHIC-8E11) to study the pathogenic traits of and to investigate the mode of action of cell-free supernatants (CFS) from probiotic AG01 and subsp. AG02 in reducing the pathogenicity of .

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Background: In December 2019 the World Health Organization announced that the widespread severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection had become a global pandemic. The most affected organ by the novel virus is the lung, and imaging exploration of the thorax using computer tomography (CT) scanning and X-ray has had an important impact.

Materials And Methods: We assessed the prevalence of lung lesions in vaccinated versus unvaccinated SARS-CoV-2 patients using an artificial intelligence (AI) platform provided by Medicai.

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Background: With the advent of smartphone devices, an increasing number of mHealth applications that target melanoma identification have been developed, but none addresses the general context of melanoma and nonmelanoma skin cancer identification.

Introduction: In this study a smartphone application using fractal and classical image analysis for the risk assessment of skin lesions is systematically evaluated to determine its sensitivity and specificity in the diagnosis of melanoma and nonmelanoma skin cancer along with actinic keratosis and Bowen's disease.

Materials And Methods: In the Department of Dermatology, Catharina Hospital Eindhoven, The Netherlands, 341 melanocytic and nonmelanocytic lesions were imaged using SkinVision app; 239 underwent histopathological examination, while the rest of 102 lesions were clinically diagnosed as clearly benign and not removed.

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Analysis of temporal trends in medicine is needed to understand normal physiology and to study the evolution of disease processes. It is also useful for monitoring response to drugs and interventions, and for accountability and tracking of health care resources. In this review, we discuss what makes time series analysis unique for the purposes of renal research and its limitations.

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Purpose: Our study aimed to assess the normal parameters of renal parenchyma and upper urinary tract from a contrast enhanced computed tomography assessment in order to create a mathematical model of normal kidney.

Patients And Methods: We conducted a retrospective observation study on 520 patients with a normal abdominal contrast enhanced CT scan in our Institute during November 2008-November 2010. All CT examinations were performed using 16 slices Siemens Emotion 2007 (Siemens Medical Solutions, Malvern, PA, USA).

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