Publications by authors named "G Papadopoulos"

Background: Pulmonary arterial hypertension (PAH) is a severe complication among adult patients with congenital heart disease (ACHD). This study presents real-world data on risk stratification, pharmacotherapy and survival rates in PAH-ACHD.

Methods: Data from PAH-ACHD patients were analyzed using The Hellenic Pulmonary Hypertension Registry (HOPE), spanning eight specialized centers between 2015 and 2023.

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Background: The deadliest, most dangerous subtype of breast cancer is triple-negative, which lacks treatment targets and accounts for 30% of all breast cancer-related deaths worldwide. TNBC is characterized by the expression of no estrogen, progesterone, or human epidermal growth factor 2 receptors. This suggests that new treatment modalities with fewer adverse effects are required.

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Raman spectroscopy is widely used across scientific domains to characterize the chemical composition of samples in a nondestructive, label-free manner. Many applications entail the unmixing of signals from mixtures of molecular species to identify the individual components present and their proportions, yet conventional methods for chemometrics often struggle with complex mixture scenarios encountered in practice. Here, we develop hyperspectral unmixing algorithms based on autoencoder neural networks, and we systematically validate them using both synthetic and experimental benchmark datasets created in-house.

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This paper addresses the critical and urgent need to reduce food losses and waste (FLW) resulting from stringent marketing standards. It proposes a comprehensive and actionable framework grounded in the three pillars of sustainability-environmental, economic, and social-to effectively evaluate FLW across the entire food supply chain. The paper involves a thorough review of existing marketing standards, including research on FLW due to marketing standards, and proposes the implementation of targeted key actions within four key food sectors: fruits, vegetables, dairy, and cereals.

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Aims/hypothesis: The aim of this work was to explore molecular amino acids (AAs) and related structures of HLA-DQA1-DQB1 that underlie its contribution to the progression from stages 1 or 2 to stage 3 type 1 diabetes.

Methods: Using high-resolution DQA1 and DQB1 genotypes from 1216 participants in the Diabetes Prevention Trial-Type 1 and the Diabetes Prevention Trial, we applied hierarchically organised haplotype association analysis (HOH) to decipher which AAs contributed to the associations of DQ with disease and their structural properties. HOH relied on the Cox regression to quantify the association of DQ with time-to-onset of type 1 diabetes.

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