Search Results - "Spartalis, M"

The development of Brugada syndrome phenotype is multifactorial, combining genetic and environmental factors by Spartalis, M, Athanasiou, A, Spartalis, E, Voudris, V

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The complex crosstalk between inflammatory cytokines and ventricular arrhythmias by Kouvas, N., Kontogiannis, C., Georgiopoulos, G., Spartalis, M., Tsilimigras, D.I., Spartalis, E., Kapelouzou, A., Kosmopoulos, M., Chatzidou, S.

“…•Cytokines present a non-linear relationship with arrhythmogenic potential of myocardium.•Cytokines affect the autonomic innervation of the heart.•Serum…”
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The effect of per os colchicine administration in combination with fenofibrate and N-acetylcysteine on triglyceride levels and the development of atherosclerotic lesions in cholesterol-fed rabbits by Spartalis, M, Siasos, G, Mastrogeorgiou, M, Spartalis, E, Kaminiotis, V V, Mylonas, K S, Kapelouzou, A, Kontogiannis, C, Doulamis, I P, Toutouzas, K, Nikiteas, N, Iliopoulos, D C

“…Atherosclerosis is a chronic inflammatory disease promoted by pro-inflammatory cytokines produced by NOD-, LRR- and pyrin domain-containing protein 3 (NLRP 3)…”
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Intravenous lipid emulsion as an antidote in clinical toxicology: a systematic review by Tampakis, K, Vogiatzakis, N, Kontogiannis, C, Spartalis, M, Ntalianis, A, Spartalis, E, Siafaka, I, Iacovidou, N, Chalkias, A, Xanthos, T

“…Intravenous lipid emulsions (ILE) were developed many decades ago to supply nutritional requirements to patients unable to obtain adequate enteral nutrition…”
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The role of prasugrel in the management of acute coronary syndromes: a systematic review by Spartalis, M, Tzatzaki, E, Spartalis, E, Damaskos, C, Athanasiou, A, Moris, D, Politou, M

“…Dual antiplatelet therapy (DAPT) is the treatment of choice in the medical management of patients with acute coronary syndrome (ACS). The combination of…”
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Successful combined surgical approach in a rare case of retrotracheal goitre in a patient with anatomical impediments by Spartalis, E, Damaskos, C, Moris, D, Athanasiou, A, Spartalis, M, Karagkiouzis, G, Schizas, D, Dimitroulis, D, Tomos, P

“…Diving goitres can descend the cervical region expanding directly into the thoracic cavity. In most cases, diving goitres extend into the anterosuperior…”
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P174 Urinary excretion of Th1, Th2 and Th17 cytokines in idiopathic focal segmental glomerulosclerosis: Preliminary results from a single center by Stangou, M., Spartalis, M., Papagianni, A., Liakou, H., Kasimatis, S., Efstratiadis, G., Memmos, D.

“…Idiopathic Focal Segmental Glomerusclerosis (FSGS) usually leads to end stage renal disease. Cytokines excreted in the urine may represent immunological…”
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Large thoracic tumour without superior vena cava syndrome by Garmpis, N., Damaskos, C., Patelis, N., Dimitroulis, D., Spartalis, E., Tomos, I., Garmpi, A., Spartalis, M., Antoniou, E. A., Kontzoglou, K., Tomos, P.

“…A 62-year-old male with long-standing smoking history presented with haemoptysis. Plain chest X-ray showed abnormal findings proximate to the right pulmonary…”
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Uninterrupted dabigatran is safer than warfarin in patients undergoing ablation for atrial fibrillation by Spartalis, Michael, Tzatzaki, MD, PhD, Eleni, Nikiteas, MD, MSc, PhD, Nikolaos I., Spartalis, MD, MSc, PhD, Eleftherios

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Optimising and validating deep learning approaches for diagnosing atrial fibrillation from few-lead ambulatory electrocardiogram signals by Pantelidis, P, Oikonomou, E, Souvaliotis, N, Spartalis, M, Bampa, M, Papapetrou, P, Siasos, G, Vavuranakis, M

“…Abstract Funding Acknowledgements Type of funding sources: None. Background Deep learning (DL) has received much attention as a solution for automatically…”
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Generative adversarial networks (GANs) to produce synthetic 12-lead electrocardiogram signals for specific and rare diseases: a novel, powerful tool towards clinical advancements by Pantelidis, P, Oikonomou, E, Bampa, M, Gialamas, I, Goliopoulou, A, Mystakidi, V C, Papamikroulis, G A, Spartalis, M, Tsiachris, D, Papaioannou, T, Kalogeras, K, Vavouranakis, M, Papapetrou, P, Siasos, G

“…Abstract Background Remarkable technological advancements in electrocardiogram (ECG) analysis face challenges due to insufficiently diverse and extensive…”
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Inside the “brain” of an artificial neural network: an interpretable deep learning approach to paroxysmal atrial fibrillation diagnosis from electrocardiogram signals during sinus rhythm by Pantelidis, P, Oikonomou, E, Lampsas, S, Souvaliotis, N, Spartalis, M, Vavuranakis, M A, Bampa, M, Papapetrou, P, Siasos, G, Vavuranakis, M

“…Abstract Background With the ongoing, rapid advances in Deep Learning (DL), such solutions can now detect medical conditions even invisible to the human eye…”
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P1669Frequency and patterns of implantable cardiac defibrillator therapies in patients with ventricular assist devices by Gkouziouta, A, Kogerakis, N, Spartalis, M, Kostopoulou, A, Bonios, M, Voudris, V, Livanis, E, Adamopoulos, S

“…Abstract Purpose Durable ventricular assist devices (VADs) use is a life-saving therapy in patients with end-stage heart failure. These patients are at high…”
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Deep learning to diagnose left ventricular hypertrophy from standard, 12-lead ECG signals: a proof-of-concept study by Pantelidis, P, Oikonomou, E, Souvaliotis, N, Spartalis, M, Lampsas, S, Bampa, M, Bakogiannis, C, Antonopoulos, A, Siasos, G, Vavuranakis, M, Papapetrou, P

“…Abstract Funding Acknowledgements Type of funding sources: None. Background Although several sets of voltage and non-voltage criteria have been employed to…”
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Proper management of HIV/AIDS disease by Spartalis, M A

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Proper management of thromboembolic disease by Spartalis, M A

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AIDS is a multifactorial neuroimmunoendocrine disorder due to energy crisis in the 'Milieu Interieur' by Spartalis, M A

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How HIV causes AIDS by Spartalis, M A

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Inside the “brain” of an artificial neural network: an interpretable deep learning approach to paroxysmal atrial fibrillation diagnosis from electrocardiogram signals during sinus rhythm by Pantelidis, P, Oikonomou, E, Lampsas, S, Souvaliotis, N, Spartalis, M, Vavuranakis, M A, Bampa, M, Papapetrou, P, Siasos, G, Vavuranakis, M

“…Abstract Background With the ongoing, rapid advances in Deep Learning (DL), such solutions can now detect medical conditions even invisible to the human eye…”
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Management of thromboembolic disease by Spartalis, M A

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