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Orsolya Varga

Researcher at University of Debrecen

Publications -  65
Citations -  867

Orsolya Varga is an academic researcher from University of Debrecen. The author has contributed to research in topics: Medicine & European union. The author has an hindex of 12, co-authored 50 publications receiving 557 citations. Previous affiliations of Orsolya Varga include University of Porto & Hungarian Academy of Sciences.

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From Big Data to Precision Medicine.

TL;DR: Both the opportunities and challenges posed to biomedical research by the increasing ability to tackle large datasets are discussed, including the need for standardization of data content, format, and clinical definitions.
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Intensity Analysis and the Figure of Merit’s components for assessment of a Cellular Automata – Markov simulation model

TL;DR: Novel methods are given to compare three types of land change: 1) reference change during the calibration time interval, 2) simulation change During the validation time intervals, and 3) referencechange during the validate time interval by using Intensity Analysis’ three levels and the Figure of Merit’s four components.
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Contribution of animal models to the understanding of the metabolic syndrome: a systematic overview.

TL;DR: The purpose of this review is to assess how current animal models contributed to the knowledge of the human MetS, and to systematically evaluate the strengths and weaknesses of the currently available 78 animal models from 11 species.
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Validating animal models for preclinical research: a scientific and ethical discussion.

TL;DR: This work discusses both the potential and the limitations of validating preclinical animal models for proof-of-concept studies, by using an approach similar to that applied to alternative non-animal methods in toxicology and safety testing.
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Clinical Effectiveness and Cost-Effectiveness of Oral-Health Promotion in Dental Caries Prevention among Children: Systematic Review and Meta-Analysis

TL;DR: A comprehensive analysis of the OHPPs confirmed a reduction effect on child DMFT, hence, lowering the financial burden of dental-care treatment on health institutions.