{"id":111,"date":"2025-03-08T19:36:47","date_gmt":"2025-03-08T16:36:47","guid":{"rendered":"https:\/\/gomedprecision.gr\/?page_id=111"},"modified":"2026-02-26T11:59:47","modified_gmt":"2026-02-26T08:59:47","slug":"%ce%b5%cf%80%ce%b9%cf%83%cf%84%ce%b7%ce%bc%ce%bf%ce%bd%ce%b9%ce%ba%ce%ad%cf%82-%ce%b4%ce%b7%ce%bc%ce%bf%cf%83%ce%b9%ce%b5%cf%8d%cf%83%ce%b5%ce%b9%cf%82-%cf%83%ce%b5-%cf%83%cf%85%ce%bd%ce%ad%ce%b4","status":"publish","type":"page","link":"https:\/\/gomedprecision.gr\/en\/%ce%b5%cf%80%ce%b9%cf%83%cf%84%ce%b7%ce%bc%ce%bf%ce%bd%ce%b9%ce%ba%ce%ad%cf%82-%ce%b4%ce%b7%ce%bc%ce%bf%cf%83%ce%b9%ce%b5%cf%8d%cf%83%ce%b5%ce%b9%cf%82-%cf%83%ce%b5-%cf%83%cf%85%ce%bd%ce%ad%ce%b4\/","title":{"rendered":"Scientific publications in Conferences"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li>Bampos, C., &amp; Megalooikonomou, V. (2025). Consensus-Based Identification of Schizophrenia Risk Genes Using Masked Denoising Autoencoders and Explainable Machine Learning. Paper presented at the 2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE). (DOI: <a href=\"https:\/\/doi.org\/10.1109\/BIBE66822.2025.00029\">https:\/\/doi.org\/10.1109\/BIBE66822.2025.00029<\/a>)<\/li>\n\n\n\n<li>Bilioni, A., Anagnostou, P., Tasoulis, S. K., Georgakopoulos, S. V., &amp; Plagianakos, V. P. (2025). Enhancing Machine Learning Models for Medical Coding: Diagnostic Codes Mapping and Synthetic Clinical Notes. Paper presented at the 2025 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). (DOI: <a href=\"https:\/\/doi.org\/10.1109\/CIBCB66090.2025.11177075\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/CIBCB66090.2025.11177075<\/a>)<\/li>\n\n\n\n<li>Digenis, S., Grigoriadis, D., Miliotis, M., &amp; Hatzigeorgiou, A. G. (2024). A Machine Learning algorithm for Predicting Translation Initiation Start Positions. Paper presented at the 2024 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). (DOI: <a href=\"https:\/\/doi.org\/10.1109\/CIBCB58642.2024.10702143\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/CIBCB58642.2024.10702143<\/a>)<\/li>\n\n\n\n<li>Exarchou-Kouveli, K. K., Stasi, E. A., Manios, G. A.,  Kontou, P.,  Bagos P. G. (2025). GWAS genotype reconstruction from summary statistics: a comparison of methods. <a href=\"https:\/\/www.statlab-unisa.it\/ibs-ir-emr2025\/daily-conference-program\" target=\"_blank\" rel=\"noreferrer noopener\">Joint Conference of the Italian and Eastern Mediterranean Regions of the International Biometric Society<\/a> (IBS-IR-EMR2025)<\/li>\n\n\n\n<li>Kalfakakou D., Bampos C., Papathanasiou A., Fostira F., Apostolou P., Konstantopoulou I., Pavlopoulos G. A., Megalooikonomou V., Yannoukakos D. A neural network architecture approach for variant prioritization and annotation using Canvas, a population-specific cancer patient database, as a training set. Presented at: European Human Genetics Conference (ESHG) 2025. Milan, Italy, May 24\u201327, 2025. Presentation EP17.012.<\/li>\n\n\n\n<li>Kontou P, Sasilioglou I, Bagos P. A partial correlation network from summary data can identify causally related diseases. <a href=\"https:\/\/iwbbio.ugr.es\/2025\/index.html\" target=\"_blank\" rel=\"noreferrer noopener\">12th International Work-Conference on Bioinformatics and Biomedical Engineering-IWBBIO2025<\/a>.&nbsp; 16-18 July 2025, Spain. In <a href=\"https:\/\/link.springer.com\/book\/9783032084545#about-this-book\" target=\"_blank\" rel=\"noreferrer noopener\">&#8220;Bioinformatics and Biomedical Engineering&#8221;<\/a>, Ignacio Rojas, et al (Eds),&nbsp; Lecture Notes in Computer Science, Springer Nature, (ISBN 978-3-032-08454-5)<\/li>\n\n\n\n<li>Kontou, P., Tsionkis, G., Andronidou, E., Braliou, G., Bagos P. G. (2025). Methods for meta-analysis of EC50\/IC50 curves: a valuable tool for decision making in pharmaceutical research. <a href=\"https:\/\/conferences.enbis.org\/event\/63\" target=\"_blank\" rel=\"noreferrer noopener\">European Network for Buiseness and Industrial Statistics 2025<\/a> (ENBIS-25) [<a href=\"https:\/\/conferences.enbis.org\/event\/63\/contributions\/992\" target=\"_blank\" rel=\"noreferrer noopener\">http<\/a>][<a href=\"https:\/\/conferences.enbis.org\/event\/63\/contributions\/992\/contribution.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">PDF<\/a>]<\/li>\n\n\n\n<li>Kontou, P., Tsionkis, G., Andronidou, E., Braliou, G., Bagos P. G. (2025). Methods for meta-analysis of IC50 values in pharmacological research. <a href=\"https:\/\/www.statlab-unisa.it\/ibs-ir-emr2025\/daily-conference-program\" target=\"_blank\" rel=\"noreferrer noopener\">Joint Conference of the Italian and Eastern Mediterranean Regions of the International Biometric Society<\/a> (IBS-IR-EMR2025)<\/li>\n\n\n\n<li>Stavropoulos, S., Zacharopoulou, E., Georgakopoulos, S., Tasoulis, S., Plagianakos, V., &amp; Hatzigeorgiou, A. G. (2024). Leveraging Large Language Models for Information Extraction: Identifying microRNA-Gene Interactions in Biomedical Literature. Paper presented at the 2024 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). (DOI: <a href=\"https:\/\/doi.org\/10.1109\/CIBCB58642.2024.10702129\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/CIBCB58642.2024.10702129<\/a>)<\/li>\n\n\n\n<li>Theocharopoulos, P. C., Bersimis, S., Georgakopoulos, S. V., Plagianakos, V. P., &amp; Tasoulis, S. K. (2025). Transforming Medical Practice: Harnessing the Power of Big Data and Machine Learning for Predictive Precision Medicine. Paper presented at the 2025 IEEE Symposium on Computational Intelligence in Health and Medicine (CIHM). (DOI: <a href=\"https:\/\/doi.org\/10.1109\/CIHM64979.2025.10969489\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/CIHM64979.2025.10969489<\/a>)<\/li>\n\n\n\n<li>Tsakmaki, P. V., Tasoulis, S., Georgakopoulos, S. V., &amp; Plagianakos, V. P. (2025). Lstm-based classification of psychiatric disorders using ultra-short raw ecg signals. Paper presented at the 2025 IEEE Symposium on Computational Intelligence in Health and Medicine (CIHM). (DOI: <a href=\"https:\/\/doi.org\/10.1109\/CIHM64979.2025.10969479\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/CIHM64979.2025.10969479<\/a>)<\/li>\n\n\n\n<li>Tsakmaki, P. V., Tasoulis, S. K., Georgakopoulos, S. V., &amp; Plagianakos, V. P. (2024). Machine Learning-Driven Improvements in HRV Artifact Correction for Psychosis Prediction in the Schizophrenia Spectrum. Paper presented at the International Conference on Engineering Applications of Neural Networks. (DOI: <a href=\"https:\/\/doi.org\/10.1007\/978-3-031-62495-7_41\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1007\/978-3-031-62495-7_41<\/a>)<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"pgc_sgb_lightbox_settings":"","footnotes":""},"class_list":["post-111","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/gomedprecision.gr\/en\/wp-json\/wp\/v2\/pages\/111","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gomedprecision.gr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/gomedprecision.gr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/gomedprecision.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gomedprecision.gr\/en\/wp-json\/wp\/v2\/comments?post=111"}],"version-history":[{"count":17,"href":"https:\/\/gomedprecision.gr\/en\/wp-json\/wp\/v2\/pages\/111\/revisions"}],"predecessor-version":[{"id":203,"href":"https:\/\/gomedprecision.gr\/en\/wp-json\/wp\/v2\/pages\/111\/revisions\/203"}],"wp:attachment":[{"href":"https:\/\/gomedprecision.gr\/en\/wp-json\/wp\/v2\/media?parent=111"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}