Collectively, the management team of Stremble have hundreds of high impact publications and have held leadership roles in both industry and academia.


  1. P Meneguzzo, A Antoniades, A Garolla, F Tozzi… Predictors of psychopathology response in atypical anorexia nervosa following inpatient treatment: A propensity score matching study of weight suppression and weight loss speed. Jan 2024, doi: 10.1002/eat.24135.


  1. C. R. Libertin et al., ‘Data structuring may prevent ambiguity and improve personalized medical prognosis’, Molecular Aspects of Medicine, vol. 91, p. 101142, Jun. 2023. doi: 10.1016/j.mam.2022.101142.
  2. M Manchia et al. A Pilot Interaction Analysis of Gut Microbiota and Peripheral Markers of Aging in Severe Psychiatric Disorders: A Role for Lachnoclostridium? International Journal of Molecular Sciences 24 (24), 17618. doi: 10.3390/ijms242417618
  3. KM Tsiouris et al. CARDIOCARE platform: A beyond the state of the art approach for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity. May 2023, IEEE International Conference on Bioinformatics and Biomedicine (BIBM) doi:10.1109/BIBM58861.2023.10385541
  4. G Karanasiou et al. CARDIOCARE: An integrated platform for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity. Jul 2023, 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), doi:10.1109/EMBC40787.2023.10340747
  5. P Todisco et al. Understanding dropout and non-participation in follow-up evaluation for the benefit of patients and research: evidence from a longitudinal observational study on patients with eating disorders. Jul 2023, Eating Disorders 31 (4), 337-352. doi:10.1080/10640266.2022.2135738
  6. A Alexandraki et al. New Insights in the Era of Clinical Biomarkers as Potential Predictors of Systemic Therapy-Induced Cardiotoxicity in Women with Breast Cancer: A Systematic Review. Jun 2023, Cancers 15 (13), 3290. doi:10.3390/cancers15133290
  7. P Todisco et al. Preparing for the next pandemic by understanding the impact of COVID-19 mitigation measures on patients with eating Disorders: observations from an inpatient setting. Jun 2023, International Journal of Psychiatry in Clinical Practice, 1-7. doi:10.1080/13651501.2023.2221318
  8. CR Libertin et al. Data structuring may prevent ambiguity and improve personalized medical prognosis. Jun 2023, Molecular Aspects of Medicine 91, 101142 doi: 10.1016/j.mam.2022.101142
  9. Katsaounou, K et al. Fecal Microbiota and Associated Volatile Organic Compounds Distinguishing No-Adenoma from High-Risk Colon Adenoma Adults. Jul 2023,  Metabolites 2023, 13, 819.


  1. G. Karanasiou et al., ‘A multimodal approach for the management of co-morbid cardiotoxicity in the elderly breast cancer patients’, European Journal of Cancer, vol. 175, p. S40, Nov. 2022, doi: 10.1016/S0959-8049(22)01456-3.
  2. P. Todisco et al., ‘Understanding dropout and non-participation in follow-up evaluation for the benefit of patients and research: evidence from a longitudinal observational study on patients with eating disorders’, Eating Disorders, vol. 0, no. 0, pp. 1–16, Oct. 2022, doi: 10.1080/10640266.2022.2135738.
  3. C. Brown et al., ‘A systematic review of miRNAs as biomarkers for chemotherapy-induced cardiotoxicity in breast cancer patients reveals potentially clinically informative panels as well as key challenges in miRNA research’, Cardio-Oncology, vol. 8, no. 1, p. 16, Sep. 2022, doi: 10.1186/s40959-022-00142-1.
  4. K. Katsaounou et al., ‘Colon Cancer: From Epidemiology to Prevention’, Metabolites, vol. 12, no. 6, Art. no. 6, Jun. 2022, doi: 10.3390/metabo12060499.
  5. M. Manchia, A. Squassina, F. Tozzi, A. Antoniades, and B. Carpiniello, ‘Gut microbiota and treatment-resistant schizophrenia: many questions, fewer answers’, Pharmacogenomics, vol. 23, no. 5, pp. 277–280, Apr. 2022, doi: 10.2217/pgs-2022-0018.
  6. I. Nicolaidou, F. Tozzi, and A. Antoniades, ‘A gamified app on emotion recognition and anger management for pre-school children’, International Journal of Child-Computer Interaction, vol. 31, p. 100449, Mar. 2022, doi: 10.1016/j.ijcci.2021.100449.
  7. S. Hassan et al., ‘Bifidobacterium Is Enriched in Gut Microbiome of Kashmiri Women with Polycystic Ovary Syndrome’, Genes, vol. 13, no. 2, Art. no. 2, Feb. 2022, doi: 10.3390/genes13020379.
  8. E. S. Soteriades et al., ‘Exercise and Occupational Stress among Firefighters’, International Journal of Environmental Research and Public Health, vol. 19, no. 9, Art. no. 9, Jan. 2022, doi: 10.3390/ijerph19094986.
  9. J. S. Verma et al., ‘Multi-cellular immunological interactions associated with COVID-19 infections’, Frontiers in immunology, vol. 13, p. 794006, 2022.


  1. P. Todisco, P. Meneguzzo, A. Garolla, A. Antoniades, P. Vogazianos, and F. Tozzi, ‘Impulsive behaviors and clinical outcomes following a flexible intensive inpatient treatment for eating disorders: findings from an observational study’, Eat Weight Disord, vol. 26, no. 3, pp. 869–877, Apr. 2021, doi: 10.1007/s40519-020-00916-5.
  2. A. Aristodimou et al., ‘A Framework for Efficient N-Way Interaction Testing in Case/Control Studies With Categorical Data’, IEEE Open Journal of Engineering in Medicine and Biology, vol. 2, pp. 256–262, 2021, doi: 10.1109/OJEMB.2021.3100416.
  3. A. Antoniades et al., ‘Integration of Biobanks in National eHealth Ecosystems Facilitating Long-Term Longitudinal Clinical-Omics Studies and Citizens’ Engagement in Research Through eHealthBioR’, Frontiers in Digital Health, vol. 3, 2021, Accessed: Mar. 03, 2023. [Online]. Available:


  1. A. L. Rivas et al., ‘Toward a COVID-19 testing policy: where and how to test when the purpose is to isolate silent spreaders’. medRxiv, p. 2020.12.22.20223651, Dec. 24, 2020. doi: 10.1101/2020.12.22.20223651.
  2. E. Nikolaou et al., ‘Intestinal microbiome analysis demonstrates azithromycin post-treatment effects improve when combined with lactulose’, World J Pediatr, vol. 16, no. 2, pp. 168–176, Apr. 2020, doi: 10.1007/s12519-019-00315-6.
  3. N. Cherappurath, M. Elayaraja, D. A. Kabeer, A. Anjum, P. Vogazianos, and A. Antoniades, ‘PETTLEP imagery and tennis service performance: an applied investigation’, Journal of Imagery Research in Sport and Physical Activity, vol. 15, no. 1, Jan. 2020, doi: 10.1515/jirspa-2019-0013.
  4. P. Todisco, P. Meneguzzo, P. Vogazianos, A. Garolla, A. Antoniades, and F. Tozzi, ‘Relation between vitamin D and impulse behaviours in patients with eating disorder: a pilot observational study’, European Eating Disorders Review, vol. 28, no. 5, pp. 587–593, 2020, doi: 10.1002/erv.2740.
  5. E. Kamilari, M. Tomazou, A. Antoniades, and D. Tsaltas, ‘High Throughput Sequencing Technologies as a New Toolbox for Deep Analysis, Characterization and Potentially Authentication of Protection Designation of Origin Cheeses?’, International Journal of Food Science, vol. 2019, p. e5837301, Nov. 2019, doi: 10.1155/2019/5837301.


  1. P. Vogazianos, E. Petkari, A. Arakliti, E. S. Soteriades, A. Antoniades, and F. Tozzi, ‘Work-Related Psychological Distress and Its Management: The Perspective of Employees in the Financial Industry Compared With Those in Human Services’, Journal of Occupational and Environmental Medicine, vol. 61, no. 8, p. e348, Aug. 2019, doi: 10.1097/JOM.0000000000001632.
  2. A. L. Rivas et al., ‘Assessing the dynamics and complexity of disease pathogenicity using 4-dimensional immunological data’, Frontiers in Immunology, vol. 10, p. 1258, 2019.
  3. I. Nicolaidou, F. Tozzi, P. Kindynis, M. Panayiotou, and A. Antoniades, ‘Development and usability of a gamified app to help children manage stress: an evaluation study’, Italian Journal of Educational Technology, vol. 27, no. 2, pp. 105–120, 2019.
  4. M. Kaakinen et al., ‘The gut microbiome of Kashmiri women with polycystic ovary syndrome shows significant enrichment at multiple genera, including Bifidobacterium’, in EUROPEAN JOURNAL OF HUMAN GENETICS, 2019, vol. 27, pp. 1712–1713.


  1. J. O’Shea, K. Crockett, W. Khan, P. Kindynis, A. Antoniades, and G. Boultadakis, ‘Intelligent Deception Detection through Machine Based Interviewing’, in 2018 International Joint Conference on Neural Networks (IJCNN), Jul. 2018, pp. 1–8. doi: 10.1109/IJCNN.2018.8489392.
  2. F. Tozzi, I. Nicolaidou, A. Galani, and A. Antoniades, ‘eHealth Interventions for Anxiety Management Targeting Young Children and Adolescents: Exploratory Review’, JMIR Pediatrics and Parenting, vol. 1, no. 1, p. e7248, May 2018, doi: 10.2196/pediatrics.7248.
  3. F. Tozzi et al., ‘How do parents select educational apps for young children?’, 2018.
  4. A. Antoniades et al., ‘Advancing clinical research by semantically interconnecting aggregated medical data information in a secure context’, Health Technol., vol. 7, no. 2, pp. 223–240, Nov. 2017, doi: 10.1007/s12553-017-0188-0.
  5. E. Dardiotis et al., ‘Gene variants of adhesion molecules act as modifiers of disease severity in MS’, Neurology – Neuroimmunology Neuroinflammation, vol. 4, no. 4, Jul. 2017, doi: 10.1212/NXI.0000000000000350.
  6. A. Antoniades, C. S. Pattichis, C. N. Schizas, and P. D. Bamidis, ‘Introductory editorial to the special issue on systems medicine for the delivery of better healthcare services’, Health Technol., vol. 7, no. 1, pp. 1–2, Mar. 2017, doi: 10.1007/s12553-016-0173-z.
  7. C. Votsi et al., ‘Type 2 Diabetes Susceptibility in the Greek-Cypriot Population: Replication of Associations with TCF7L2, FTO, HHEX, SLC30A8 and IGF2BP2 Polymorphisms’, Genes, vol. 8, no. 1, Art. no. 1, Jan. 2017, doi: 10.3390/genes8010016.
  8. A. L. Rivas et al., ‘Nature and Consequences of Biological Reductionism for the Immunological Study of Infectious Diseases’, Frontiers in Immunology, vol. 8, 2017, Accessed: Mar. 03, 2023. [Online]. Available:
  9. A. Aristodimou, A. Antoniades, and C. S. Pattichis, ‘Privacy preserving data publishing of categorical data through k-anonymity and feature selection’, Healthcare Technology Letters, vol. 3, no. 1, pp. 16–21, 2016, doi: 10.1049/htl.2015.0050.
  10. A. Antoniades et al., ‘Medical Content Searching, Retrieving, and Sharing Over the Internet: Lessons Learned From the mEducator Through a Scenario-Based Evaluation’, Journal of Medical Internet Research, vol. 17, no. 10, p. e3650, Oct. 2015, doi: 10.2196/jmir.3650.
  11. I. Nicolaidou et al., ‘A Virtual Emergency Telemedicine Serious Game in Medical Training: A Quantitative, Professional Feedback-Informed Evaluation Study’, Journal of Medical Internet Research, vol. 17, no. 6, p. e3667, Jun. 2015, doi: 10.2196/jmir.3667.
  12. I. Nicolaidou et al., ‘The Potential of Educational Games in Telemedicine: What do Usability Evaluation Results Say?’, presented at the Global Learn, Apr. 2015, pp. 492–501. Accessed: Mar. 09, 2023. [Online]. Available:
  13. ‘Program Committee’, presented at the 2014 IEEE International Conference on Bioinformatics and Bioengineering (BIBE), Nov. 2014, pp. xiv–xv. doi: 10.1109/BIBE.2014.6.
  14. P. Hasapis et al., ‘Molecular clustering via knowledge mining from biomedical scientific corpora’, in 13th IEEE International Conference on BioInformatics and BioEngineering, Nov. 2013, pp. 1–5. doi: 10.1109/BIBE.2013.6701698.
  15. O. D. Beyan et al., ‘Querying phenotype-genotype associations across multiple knowledge bases using Semantic Web technologies’, in 13th IEEE International Conference on BioInformatics and BioEngineering, Nov. 2013, pp. 1–5. doi: 10.1109/BIBE.2013.6701573.
  16. D. Tian et al., ‘A Bayesian Association Rule Mining Algorithm’, in 2013 IEEE International Conference on Systems, Man, and Cybernetics, Oct. 2013, pp. 3258–3264. doi: 10.1109/SMC.2013.555.
  17. D. Tian et al., ‘Deliverable D3.1 Interoperable EHR Data Space Design’, 2013, Accessed: Mar. 09, 2023. [Online]. Available:
  18. D. Tian et al., ‘Deliverable D5.1 Data Analysis Space Design’, 2013, Accessed: Mar. 03, 2023. [Online]. Available:
  19. I. Nicolaidou et al., ‘Scenario-based assessment for user-testing of medical educational content-sharing solutions’, 2012.
  22. A. Aristodimou, A. Antoniades, and C. Pattichis, ‘Clustering subjects in genetic studies with self organizing maps’, in 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE), 2012, pp. 546–551.
  23. A. Antoniades et al., ‘The effects of applying cell-suppression and perturbation to aggregated genetic data’, in 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE), 2012, pp. 644–649.
  24.  A. Antoniades et al., ‘Linked2Safety: A secure linked data medical information space for semantically-interconnecting EHRs advancing patients’ safety in medical research’, in 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE), 2012, pp. 517–522.
  26. I. Nicolaidou et al., ‘Design of evaluation of content sharing solutions in medical education’, 2011.
  27. I. Nicolaidou, D. Giordano, C. Spampinato, C. Pattichis, P. Bamidis, and A. Antoniades, ‘Evaluation of educational content sharing solutions: Challenges of the mEducator best practice network’, EdMedia+ Innovate Learning, pp. 498–503, 2011.
  28. I. Nicolaidou, P. Bamidis, A. Antoniades, M. Nikolaidou, C. Pattichis, and D. Giordano, ‘mEducator: Multi-type content sharing and repurposing in medical education’, in EdMedia+ Innovate Learning, 2011, pp. 3740–3745.
  29. A. Antoniades, ‘Discovering disease associated gene-gene interactions: A two snp interaction analysis framework’, 2011.
  30. A. Antoniades, P. M. Matthews, C. S. Pattichis, and N. W. Galwey, ‘A computationally fast measure of epistasis for 2 SNPs and a categorical phenotype’, in 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, Aug. 2010, pp. 6194–6197. doi: 10.1109/IEMBS.2010.5627741.
  31. A. Antoniades et al., ‘DESIGN OF EVALUATION OF CONTENT SHARING SOLUTIONS IN MEDICAL EDUCATION’, ICERI2011 Proceedings, pp. 6786–6794, 2011.

Interested in what we do?