2026
- Theodorou A. & Papaloukas C. (2026) Comparative Analysis of High-Throughput Data in AML Advances in Experimental Medicine and Biology 1490:103-114. doi: 10.1007/978-3-032-03402-1_11
2025
- De Visscher, A., Beliën, J., Malengier-Devlies, B., Bernaerts, E., De Vuyst, L., Filtjens, J., Ahmadzadeh, K., Mitera, T., Berghmans, N., Laskari, K., Jamilloux, Y., Regnier, P., Saadoun, D., Girard-Guyonvarc'h, C., Gabay, C., Gouwy, M., Proost, P., Humblet-Baron, S., Mueller, Y. M., Erkland, S. J., … Matthys, P. (2025) Distinct Natural Killer Cell Signature in Still Disease: Insights From a Multinational Immunome Project Consortium for Autoinflammatory Disorders Arthritis & rheumatology (Hoboken, N.J.) doi: 10.1002/art.70008 pubmed: 41363108
- Kyriakou, M., & Papaloukas, C. (2025) Genomic Insights into Tumorigenesis in Newly Diagnosed Multiple Myeloma Diagnostics (Basel, Switzerland) doi: 10.3390/diagnostics15172130 pubmed: PMC12428068
- Mavrokotas K. I., Georga E. I., Papaloukas C. & Fotiadis D. I. (2025) A Nutrition Recommendation System based on Reinforcement Learning Annu Int Conf IEEE Eng Med Biol Soc doi: 10.1109/EMBC58623.2025.11252751
- Katsarou, D. N., Georga, E. I., Tigas, S., Papaloukas, C., & Fotiadis, D. I. (2025) Multi-Metric Subgroup Analysis for Glucose Forecasting in Type 1 Diabetes Annu Int Conf IEEE Eng Med Biol Soc doi: 10.1109/EMBC58623.2025.11254917 pubmed: 41335737
- Katsarou, D. N., Georga, E. I., Christou, M. A., Christou, P. A., Tigas, S., Papaloukas, C., & Fotiadis, D. I. (2025) Optimizing hypoglycaemia prediction in type 1 diabetes with Ensemble Machine Learning modeling BMC Med Inform Decis Mak . doi: 10.1186/s12911-025-02867-2 pubmed: 39891137
- Katsarou, D. N., Georga, E. I., Sakaloglou, P., Christou, M. A., Georgiou, I., Tigas, S., Papaloukas, C., & Fotiadis, D. I. (2025) Glucose Prediction Using Population-based Models and Genetic Data in Type 1 Diabetes Patients Annu Int Conf IEEE Eng Med Biol Soc . doi: 10.1109/EMBC53108.2024.10782264 pubmed: 40039688
- Topping, J., Chang, L., Nadat, F., Poulter, J. A., Ibbotson, A., Lara-Reyna, S., Watson, C. M., Carter, C., Pournara, L. P., Zernicke, J., Ross, R. L., Cargo, C., Lyons, P. A., Smith, K. G. C., Del Galdo, F., Rech, J., Fautrel, B., Feist, E., McDermott, M. F., Savic, S., … ImmunAID Consortium (2025) Characterization of Genetic Landscape and Novel Inflammatory Biomarkers in Patients With Adult-Onset Still's Disease Arthritis & rheumatology (Hoboken, N.J.) doi: 10.1002/art.43054 pubmed: 39492681
- Koloi, A., Siregar, N. P. R., Quax, R., Sakellarios, A. I., Lamers, F., Rydin, A., Dobretz, K., Papaloukas, C., Fotiadis, D. I., & Bosch, J. A (2025) Immunometabolic Pathways: Investigating Mediators of Major Depressive Disorder and Atherosclerotic Cardiovascular Disease Comorbidity Biol Psychiatry Glob Open Sci . doi: 10.1016/j.bpsgos.2025.100528 pubmed: 40599634
2024
- E. Baltzi C. Papaloukas D.A. Spandidos, I. Michalopoulos (2024) “Genes encoding γ‑glutamyl‑transpeptidases in the allicin biosynthetic pathway in garlic (Allium sativum)” Biomedical Reports 20 (3): 45.
- Katsarou, D. N., Georga, E. I., Sakaloglou, P., Christou, M. A., Georgiou, I., Tigas, S., Papaloukas, C., & Fotiadis, D. I. (2024) Glucose Prediction Using Population-based Models and Genetic Data in Type 1 Diabetes Patients Annu Int Conf IEEE Eng Med Biol Soc . doi: 10.1109/EMBC53108.2024.10782264 pubmed: 40039688
- Koloi, A., Loukas, V. S., Hourican, C., Sakellarios, A. I., Quax, R., Mishra, P. P., Lehtimäki, T., Raitakari, O. T., Papaloukas, C., Bosch, J. A., März, W., & Fotiadis, D. I. (2024) Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data Eur Heart J Digit Health . doi: 10.1093/ehjdh/ztae049 pubmed: 39318697
- Papagiannopoulos, O. D., Pezoulas, V. C., Papaloukas, C., & Fotiadis, D. I (2024) 3D clustering of gene expression data from systemic autoinflammatory diseases using self-organizing maps (Clust3D) Comput Struct Biotechnol J . pubmed: 38827234
2023
- O. Papagiannopoulos, K. Kourou, C. Papaloukas, ImmunAID Consortium, D.I. Fotiadis (2023) “Classification of Inflammation of Unknown Origin patients based on RNA-seq and SomaScan data” 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)
- A. Koloi, V. Loukas, A. Sakellarios, J. Bosch, R. Quax, K. Nowakowska, J. Kamierski, C. Papaloukas, D.I. Fotiadis (2023) “A comparison study on creating simulated patient data for individuals suffering from chronic coronary disorders 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)
- O.D. Papagiannopoulos, C. Papaloukas, D.I. Fotiadis (2023) “Deep Learning for Biomarkers Discovery in Auto-inflammatory Disorders” IEEE EMBS International Conference on Data Science and Engineering in Healthcare
2022
- O. Papagiannopoulos, K. Kourou, C. Papaloukas, D.I. Fotiadis (2022) “Comparison of High-Throughput Technologies in the Classification of Adult-Onset Still’s Disease Patients” 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
- V.C. Pezoulas, A. Liontos, E. Mylona, C. Papaloukas, O. Milionis, D. Biros, C. Kyriakopoulos, K. Kostikas, H. Milionis, D.I. Fotiadis (2022) “Predicting the need for mechanical ventilation and mortality in hospitalized COVID-19 patients who received heparin”, 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
- D. Katsarou, E.I. Georga, M. Christou, S. Tigas, C. Papaloukas, D.I. Fotiadis (2022) “Short Term Glucose Prediction in Patients with Type 1 Diabetes Mellitus”, 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
- O.D. Papagiannopoulos, C. Papaloukas, V.C. Pezoulas, H.J.G. van de Werken, C. Poulet, Y.M. Mueller, P.D. Katsikis, D. de Seny, D.I. Fotiadis (2022) "Comparison of Proteomic Assay Methods in Autoinflammatory Disease Classification" IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
- V.C. Pezoulas, E. Mylona, C. Papaloukas, A. Liontos, D.I. Biros, O.I. Milionis, C. Kyriakopoulos, K. Kostikas, H. Milionis, D.I. Fotiadis (2022) "A hybrid approach based on dynamic trajectories to predict mortality in COVID-19 patients upon steroids administration", IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
- D.N. Katsarou, E.I. Georga, M. Christou, S. Tigas, C. Papaloukas, D.I. Fotiadis (2022) “An Exploratory Study of the Value of Vital Signs on the Short-term Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes – The GlucoseML Study” 16th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth)
2021
- F. Moazami, A. Lefèvre-Utile, C. Papaloukas, V. Soumelis (2021) "Machine Learning Approaches in Study of Multiple Sclerosis Disease Through Magnetic Resonance Images" Frontiers in Immunology 12: 700582.
- A. Koloi, A.I. Sakellarios, V.C. Pezoulas, C. Papaloukas, M. Kleber, W. März, D.I. Fotiadis (2021) "Coronary Artery Stenosis Prediction using Machine Learning Algorithms", IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
2020
- K. Kourou, V. Pezoulas, E. Georga, Th. Exarchos, C. Papaloukas, M. Voulgarelis, A. Goules, A. Nezos, A.G. Tzioufas, Η.M. Moutsopoulos, C. Mavragani, D.I. Fotiadis (2020) "Predicting Lymphoma Development by Exploiting Genetic Variants and Clinical Findings in a Machine Learning-Based Methodology With Ensemble Classifiers in a Cohort of Sjögren's Syndrome Patients" IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 1: 49-56.
2019
- K. Kourou, C. Papaloukas, D.I. Fotiadis (2019) "Modeling biological data through dynamic bayesian networks for oral squamous cell carcinoma classification" World Congress on Medical Physics and Biomedical Engineering (2018) pp. 375-9.
