Publications

  1. A. S. Everhardt, V. Konstantinidis, P. Kapteijn, M. Hoekman, S. Konstantinidou, M. D’Amora, A. De Carli, F. Fuso, F. Tantussi, M. Lai, V. Raffa, S. Al-Obaidi, N. Schilder, R. Heideman, D. Geuzebroek, F. Schreuder, “Integrated opto-fluidic device for high-power living cell exposure and detection”, Proc. SPIE 12837, Microfluidics, BioMEMS, and Medical Microsystems XXII, 128370C (12 March 2024); DOI: https://doi.org/10.1117/12.3003176 | Conf. Proc. (PDF)

     

  2. A. M. Grammatikaki, L. Gounaridis, D. Gounaridis, K. Obara, A. Everhardt, A. Raptakis, T. G. van Leeuwen, E. van der Pol, H. Avramopoulos, C. Kouloumentas, “Development of 3D-printed micro-lenses at the edge of waveguides of flow cytometry and optical coherence tomography photonic integrated circuits”, SPIE Photonics West 2025, Proceedings Volume 13369, Integrated Optics: Devices, Materials, and Technologies XXIX; 133690V (2025), DOI: https://doi.org/10.1117/12.3042890 | Poster (PDF) | Conf. Proc. (PDF)

     

  3. G. Brero, H. B. Atakan, Pascal D. Odermatt, T. Valentin, P. S. Dittrich, F. Kurth, “Stand-alone platform for time-effective early detection of sepsis”, Gordon Research Conference on Physics and Chemistry of Microfluidics (2025) | Poster (PDF)

     

  4. I. Angelioudaki, A. Iosif, K. Kourou, A. G. Tzingounis, V. Kigka, A. M. Skreka, M. Costopoulos, N. Memos, A. Kataki, M. M. Konstadoulakis, D. I. Fotiadis, “A machine-learning approach for pancreatic neoplasia classification based on plasma extracellular vesicles”, Front Oncol. 15:1540195, 2025. DOI: 10.3389/fonc.2025.1540195 | PMID: 40352592 | PMCID: PMC12061713 | Article (PDF)

     

  5. N. C. Buntsma et al., “Identification of Ischemic Stroke Patients Based on Plasma Concentrations of Extracellular Vesicles”, Transl. Stroke Res. (2025) DOI: https://doi.org/10.1007/s12975-025-01371-z | Article (PDF)

     

  6. K. Kourou, A. Iosif, I. Angelioudaki, V. Kigka, A. G. Tzingounis, V. Pantazatou, M. Vlachou, N. Memos, A. Kataki, M. M. Konstadoulakis, I. D. Fotiadis, “Early Pancreatic Cancer detection using Extracellular Vesicles and adaptive learning techniques”,  Annu Int Conf IEEE Eng Med Biol Soc. 2025 Jul, 1-4 (2025),  DOI: 10.1109/EMBC58623.2025.11254569. PMID: 41336594 | Conf. Proc. (PDF)

  7. V. E. Katsigiannis, I.  Kakkos, S. T. Miloulis et al.. “A feasible machine learning framework for diagnosing stroke patients versus mimic conditions incorporating extracellular vesicle characterization and EHR features fusion”,  Netw Model Anal Health Inform Bioinforma 15, 9 (2026) DOI: https://doi.org/10.1007/s13721-025-00690-3 | Article (PDF)