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PARTNERS
This is a small and focused consortium with only two partners. EUNDO is an innovative technology SME focused on AI and ML data analytics for driving innovation in Cyprus. The German Oncology Center is one of the largest oncology hospitals in
Cyprus.
Host Organization: EUNDO LIMITED is a Cyprus based SME that was established to bring healthcare innovation in Cyprus. It was founded by Dr Charalambos Anastassiou who has over 10 years of medical device development experience from Cambridge Massachusetts, USA. He is joined by Dr Andreas Livera who was recently awarded his PhD from the University of Cyprus, where he developed machine learning algorithms for the generation of synthetic data. Those algorithms have been successfully used in cleaning and correcting data from photovoltaic parks. The goal of EUNDO is to leverage that knowledge for the creation of algorithms and synthetic data solutions for the healthcare sector first and with the possibility of expanding to other sectors. AVATAR represents the first major undertaking of EUNDO. The current team is small (Dr Anastassiou and Dr Livera) but with the help of the partner organization (GOC – PA1) has more than enough expertise and resources to carry through the tasks for AVATAR. Once the project is successfully completed, EUNDO will seek funding to expand its team and bring this proof of concept to a higher TRL. It should be mentioned that the both Dr Anastassiou and Dr Livera have been researchers at the University of Cyprus for the last 5 years and have considerable experience in managing externally funded projects from EU (such as Horizon2020, Erasmus, MedEra) and Cyprus (Research and Innovation Foundation).
Major relevant infrastructure: EUNDO has computers, access to relevant software (most is open-source such as R and python) and will purchase web based services (e.g. Google cloud, Amazon web services, Azure) such as hosting the project website. computation, storage, networking, and databases. It has access to all the necessary infrastructure to develop, test and run the synthetic data algorithms.
Selected Relevant Publications:
1. A. Livera, et al. “Optimal development of location and technology independent machine learning photovoltaic performance predictive models”, in 46th IEEE Photovoltaic Specialists Conference (IEEE PVSC), Chicago, United States, 2019.
2. M. Theristis, et al, “Non-linear photovoltaic degradation rates: modeling and comparison against conventional methods”, in IEEE Journal of Photovoltaics, vol. 10, no. 4, pp. 1112-1118, July 2020, doi: 10.1109/JPHOTOV.2020.2992432.
3. Y. Dimopoulos, et al, “Encoding Reversing Petri Nets in Answer Set Programming”, in International Conference on Reversible Computation (pp. 264-271), Springer, Cham, July 2020.
Partner. German Oncology Center (GOC): The Linac-Pet Scan Opco Ltd (legal name) belongs to the broader group of the German Oncology Center (business name), which provides their services in general as an oncology center. GOC was founded by a world-renowned group of oncologists with significant prior experience at oncology centers and clinics in Germany and with core expertise in radiation oncology and innovative RT. The group has a strong record in both basic and clinical research, focusing on the translation of research results into innovative diagnostic and therapeutic services relating to all aspects of medical oncology. Additionally, the Center is committed to being involved in research projects to ensure that its staff remains constantly updated and involved with internationally innovative clinical research. In parallel, the GOC pursues and advances its academic educational and research programs, in collaboration with the Technical University of Cyprus through the Cancer Research and Innovation Center, and by being academic training center for the Medical Program of the European University of Cyprus. The experience of the GOC’s Department of Radiation Oncology on external beam radiotherapy and HDRBT treatments, will provide the comprehensive medical data required for model personalization, model validation and ML training.
Major relevant infrastructure: GOC has state-of-the-art prostate HDRBT equipment that includes: Elekta MicroSelectron afterloader, ultra-high-resolution transrectal ultrasound (TRUS) with triplane transducer, 1.5-Tesla MRI, a 3-Tesla MRI (to be installed within 2022), brachytherapy treatment planning software, and other software enabling medical image contouring, registration, and analysis. GOC also has licenses for commercial software for medical image analysis and MATLAB.
Major relevant publications of key personnel participating in the project:
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Y. Roussakis and G. Anagnostopoulos. Physical and dosimetric aspects of the iridium-knife. Front Oncol; 11:728452 (2021).
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D. Kostyszyn, …, C. Zamboglou, et al. Intraprostatic tumour segmentation on PSMA PET images in patients with primary prostate cancer with a convolutional neural network, J Nucl Med; 62(6):823-8 (2021).
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I. Strouthos, E. Karagiannis, et al. High-dose-rate brachytherapy for prostate cancer: rationale, current applications, and clinical outcome. Cancer Reports; 5(1):e1450 (2022).
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L. Marti-Bonmati, …, Y. Roussakis, et al. Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper. Insights into Imaging; 13(1):89 (2022).
Major relevant projects:
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INCISIVE: “A multimodal AI-based toolbox and an interoperable health imaging repository for the empowerment of imaging analysis related to the diagnosis, prediction and follow-up of cancer”, Funded by European Commission (H2020-SC1-FA-DTS-2019-1), 2020-2024, https://incisive-project.eu/.
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MEDISKIN: “Development of novel medical-grade skincare products for oncology patients”, funded by Cyprus Research and Innovation Foundation, 2022-2024.
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