Publications by authors named "Theodosis Theodosiou"

Article Synopsis
  • * The study introduced a machine learning (AutoML) approach to analyze DNA methylation data, leading to the identification of SCZ-specific biomarkers such as IGF2BP1, CENPI, and PSME4 from blood samples of SCZ patients compared to healthy controls.
  • * An optimized five-feature biosignature was developed that included gene methylation levels and demographic factors, showing promise for being used in clinical diagnostics for SCZ, with a notable performance accuracy.
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Article Synopsis
  • Circulating cell-free DNA (ccfDNA) shows promise as a biomarker for precision medicine diagnostics, leading researchers to explore its structure and biology.
  • Raman spectroscopy was used to analyze ccfDNA from various sources, revealing distinct chemical profiles related to health conditions like cancer and diabetes.
  • The study suggests that Raman spectroscopy could enhance liquid biopsy diagnostics, offering valuable insights into the biomolecular structure of ccfDNA in both healthy individuals and patients.
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Tissue-specific gene methylation events are key to the pathogenesis of several diseases and can be utilized for diagnosis and monitoring. Here, we established an in silico pipeline to analyze high-throughput methylome datasets to identify specific methylation fingerprints in three pathological entities of major burden, i.e.

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The support of prehospital and emergency call handling and the impact of Covid-19 is discussed throughout this study. The initial purpose was to create an electronic system (eEmergency system) in order to support, improve, and help the procedure of handling emergency calls. This system was expanded to facilitate needed operation changes for Covid-19.

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"Α picture is worth a thousand words." This widely used adage sums up in a few words the notion that a successful visual representation of a concept should enable easy and rapid absorption of large amounts of information. Although, in general, the notion of capturing complex ideas using images is very appealing, would 1000 words be enough to describe the unknown in a research field such as the life sciences? Life sciences is one of the biggest generators of enormous datasets, mainly as a result of recent and rapid technological advances; their complexity can make these datasets incomprehensible without effective visualization methods.

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