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The last 5 uploaded publications
Genetic justification of <scp>COVID</scp>‐19 patient outcomes using <scp>DERGA</scp>, a novel data ensemble refinement greedy algorithm
Panagiotis G. Asteris, Amir Gandomi, Danial Jahed Armaghani, Markos Z. Tsoukalas, Eleni Gavriilaki, Gloria F. Gerber, Gerasimos Konstantakatos, Athanasia D. Skentou, Leonidas Triantafyllidis, Nikolaos Kotsiou, Evan M. Braunstein, Hang Chen, Robert A. Brodsky, Tasoula Touloumenidou, Ioanna Sakellari, Nizar Faisal Alkayem, Abidhan Bardhan, Maosen Cao, Liborio Cavaleri, Antonio Formisano, Deniz Güney, Mahdi Hasanipanah, Manoj Khandelwal, Ahmed Salih Mohammed, Pijush Samui, Jian Zhou, Evangelos Terpos, Meletios Α. Dimopoulos (2024). Genetic justification of <scp>COVID</scp>‐19 patient outcomes using <scp>DERGA</scp>, a novel data ensemble refinement greedy algorithm. Journal of Cellular and Molecular Medicine, 28(4), DOI: 10.1111/jcmm.18105.
Article170 days agoPrognosis of COVID-19 severity using DERGA, a novel machine learning algorithm
Panagiotis G. Asteris, Amir Gandomi, Danial Jahed Armaghani, Styliani Kokoris, Anastasia T Papandreadi, Anna Roumelioti, Stefanos Papanikolaou, Markos Z. Tsoukalas, Leonidas Triantafyllidis, Evangelos I. Koutras, Abidhan Bardhan, Ahmed Salih Mohammed, Hosein Naderpour, Satish Paudel, Pijush Samui, Ioannis Ntanasis‐Stathopoulos, Meletios Α. Dimopoulos, Evangelos Terpos (2024). Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm. European Journal of Internal Medicine, 125, pp. 67-73, DOI: 10.1016/j.ejim.2024.02.037.
Article170 days agoRevealing the nature of cardiovascular disease using DERGA, a novel data ensemble refinement greedy algorithm
Panagiotis G. Asteris, Eleni Gavriilaki, Polydoros N. Kampaktsis, Amir Gandomi, Danial Jahed Armaghani, Markos Z. Tsoukalas, Dimitrios V. Avgerinos, Savvas Grigoriadis, Nikolaos Kotsiou, E. Yannaki, Anastasios Drougkas, Abidhan Bardhan, Liborio Cavaleri, Antonio Formisano, Ahmed Salih Mohammed, Bhatawdekar Ramesh Murlidhar, Satish Paudel, Pijush Samui, Jian Zhou, Pantelis Sarafidis, Agostino Virdis, Εugenia Gkaliagkousi (2024). Revealing the nature of cardiovascular disease using DERGA, a novel data ensemble refinement greedy algorithm. International Journal of Cardiology, 412, pp. 132339-132339, DOI: 10.1016/j.ijcard.2024.132339.
Article170 days agoPre-transplant and transplant parameters predict long-term survival after hematopoietic cell transplantation using machine learning
Panagiotis G. Asteris, Amir Gandomi, Danial Jahed Armaghani, Ahmed Salih Mohammed, Zoi Bousiou, Ioannis Batsis, Nikolaos Spyridis, Georgios Karavalakis, Anna Vardi, Evangelia Yannaki, Leonidas Triantafyllidis, Evangelos I. Koutras, Nikos Zygouris, Georgios A Drosopoulos, Nikolaos A. Fountas, Nikolaos M. Vaxevanidis, Abidhan Bardhan, Pijush Samui, George D. Hatzigeorgiou, Jian Zhou, Konstantina V Leontari, Paschalis Evangelidis, Ioanna Sakellari, Eleni Gavriilaki (2025). Pre-transplant and transplant parameters predict long-term survival after hematopoietic cell transplantation using machine learning. Transplant Immunology, pp. 102211-102211, DOI: 10.1016/j.trim.2025.102211.
Article170 days agoOptimizing High-Entropy Alloys using Deep Neural Networks
Stefanos Papanikolaou, Danial Jahed Armaghani, Ahmed Salih Mohammed, Markos Z. Tsoukalas, Amir Gandomi, Panagiotis G. Asteris (2024). Optimizing High-Entropy Alloys using Deep Neural Networks. Materialia, 36, pp. 102162-102162, DOI: 10.1016/j.mtla.2024.102162.
Article170 days ago