CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
Papers; Proceedings; Presentations & Proposals 2 (opens in new window)
Papers; Proceedings; Presentations & Proposals
Papers; Proceedings; Presentations & Proposals 4 (opens in new window)Papers; Proceedings; Presentations & Proposals
Papers; Proceedings; Presentations & Proposals 1 (opens in new window)Papers; Proceedings; Presentations & Proposals
Model the stochastic diffusion of the EXs within the cytoplasm after encountering RF signals and the stochastic secretion of EXs out of the cell membrane. This will feed the design and model for Transmitter iNSC using circuit theory
Quantified analyses of impact of dissemination and communication measures 3 (opens in new window)Quantified analyses of impact of dissemination and communication measures
Report on the validation of iR-NSCs and iM-NSC (opens in new window)Verify EX functional integrity with qPCR, proteomics and quantification of fluorescence.
Report on the theoretical communication models of EX receiver binding (opens in new window)Model the stochastic reception process of the EXs onto the GBM and their binding process to GBM enabling modelling of spatial binding process that is dependent on GBM surface shape and area
Project general report & updated plans 1 (opens in new window)Project general report & updated plans
Kick-off meeting report & updated plans (opens in new window)Report on the prototype for 3D GBM tumour constructs (opens in new window)
Culture GSCs neurospheres on electrospun nano-membranes with desired degradation rate. Assess progression to GBM structure with weekly readouts of histology and stemness vs. invasiveness biomarkers.
Updated Data Management Plan (opens in new window)Report on the theoretical communication models of EX propagation in the brain (opens in new window)
Develop temporal and spatial diffusion model for the EX propagation within the brain and the fluidic drifts impact on EX propagation in neuronal tissue and in BBB Analyse the performance of EX propagation under varying parameters and environmental conditions This closedform analytical solution will be developed in coordination with the in vitro models in the first phase of the project under various parameters
Quantified analyses of impact of dissemination and communication measures 2 (opens in new window)Quantified analyses of impact of dissemination and communication measures
Report on the autonomous and externally controllable MC system for the management of GBM (opens in new window)Asses and verify viability, stability, sustainability, effectiveness and robustness of the various system components with measurements of T5.1. Use the data to compare the optimal signal power vs the concentration of released EXs, and its impact on treatment and monitoring, serving to validate theoretical models of WP3 and the algorithms of T4.1.
Progress report on the simulator development (opens in new window)Simulator development based on the nanoNS3Sim Develop packages at the physical layer of the simulator including all elements from T31T34 and be optimized continually in conjunction with the in vitro experimental works
Final dissemination & exploitation plan (opens in new window)Quantified analyses of impact of dissemination and communication measures 4 (opens in new window)
Quantified analyses of impact of dissemination and communication measures
Quantified analyses of impact of dissemination and communication measures 1 (opens in new window)Quantified analyses of impact of dissemination and communication measures
Project handbook (opens in new window)Project general report & updated plans 3 (opens in new window)
Project general report updated plans
Report on the viability of iNSCs and EXs In Vivo (opens in new window)Initially, inject fluorescently labelled EXs isolated from conditioned media of iRNSCs contralaterally in tumour -bearing animals. Assess migration and intracellular trafficking with daily intravital microscopy and weekly ex vivo fluorescent confocal microscopy over 6 weeks. Verify functional integrity with fluorescence quantification in brain and IDH1 miRNA upregulation in tumour cells. Identify Median Effective Dose (ED50) and correlate with iRNSCs numbers to be used in proof-of-concept studies.
Dissemination & exploitation plan (opens in new window)Report on the Central Unit including communication and intelligent algorithms (opens in new window)
Enable and test the LRC and create the algorithms (deep learning convolution neural networks) and software to interface with the WBAN and perform tumour localization. Test the algorithm in vitro, using triple co-culture of T2.3 with and without tumour cells.
Report on in vivo efficacy of the reprogramming (opens in new window)Inject Rpf-GSCs stereotactically in RNU rats. Quantify and spatially analyse the fluorescence. Animals bearing vascularised tumours (5-6/group) will receive ipsilaterally: (i) iR-NSCs (treatment group); (ii) PBS (-ve control); (iii) iNSC expressing TRAIL (+ve control). Image in vivo daily until regression or death. Perform histology for regression and target protein readouts ex vivo. Isolate and characterize EXs from iR-NSC organoids cultures, animal models (serum and urine) as in T1.2.
Report on the proof-of-concept animal studies (opens in new window)Insert at least 3 devices to 3 groups of the models of D2.4 (5-6/group) via burred holes. Groups will receive additional implants as follows:(I) a reprogramming organoid; (II, positive control) iNSC expressing TRAIL (pro-apoptotic). (III, negative control), iNSCs without reprogramming miRNA. Daily measurements until regression or death: (i) distance between iR-NSCs and GBM; (ii) power and time required of RF for secretion, (iii) fluorescent signal at receiver. Histology will confirm if positive signal correlates with GBM recurrence.
Report on the deep learning algorithms and performance comparison for localization and prediction (opens in new window)Investigate deep learning algorithms, suitable for localizing the GBM. The selection will be highly dependent on the granularity of the data collected from monitoring EXs, in particular for (i) localizing accurately through triangulation using molecular signalling concentration, and (ii) predicting an accurate estimate of cell population before and after the treatment.
Data Management Plan (opens in new window)Updated &confirmed dissemination & exploitation plan 2 (opens in new window)
Updated confirmed dissemination exploitation plan
Project general report & updated plans 2 (opens in new window)Project general report & updated plans
Public communication channels set-up (opens in new window)Report on in vitro efficacy of the reprogramming (opens in new window)
Bring together co-cultures of EX-emitting iR-NSC and iM-NSCs organoids, BBB and GBM constructs in in vitro triple-culture system. Assess EX delivery across BBB with fluorescence readouts, proliferation markers, expression of target genes. Assess reprogramming efficacy of IDH1-miRNA with qPCR and GBM regression. Correlate NIR intensity from iM-NSCs with GBM cell viability and EX number.
Report on the end-to-end communication model (opens in new window)Integrate T31T33 in the endtoend capacity and delay model and analyse the performance of cell populations distances to GBM population and distribution of GBM niches as well as various environmental effects on the reliability of the EXs arriving with the required concentration Simulator development based on the nanoNS3Sim
Updated &confirmed dissemination & exploitation plan 1 (opens in new window)Updated &confirmed dissemination & exploitation plan
Project general report & updated plans 4 (opens in new window)Project general report updated plans 4
Papers Proceedings Presentations Proposals
Simulator development based on the nanoNS3Sim Develop packages at the physical layer of the simulator including all elements from T31T34 and be optimized continually in conjunction with the in vitro experimental works Make the simulator available as an Open Research Data Pilot
Publications
Author(s):
Hamidreza Arjmandi, Mohammad Zoofaghari, Seyed Vahid Rouzegar, Mladen Veletic, Ilangko Balasingham
Published in:
IEEE Transactions on NanoBioscience, Issue 20/1, 2021, Page(s) 105-115, ISSN 1536-1241
Publisher:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tnb.2020.3038635
Author(s):
A. D. Odysseos and T. Nakano
Published in:
IEEE Transactions on Molecular, Biological and Multi-Scale Communications, Issue vol. 8, no. 1, 2022, Page(s) 28-35, ISSN 2332-7804
Publisher:
IEEE
DOI:
10.1109/tmbmc.2021.3083725
Author(s):
E. Perevedentseva, N. Ali, Y.-C. Lin, A. Karmenyan, C.-C. Chang, O. Bibikova, I. Skovorodkin, R. Prunskaite-Hyyryläinen, S. J. Vainio, M. Kinnunen, C.-L. Cheng
Published in:
Biomedical Optics Express, Issue 11/10, 2020, Page(s) 5872, ISSN 2156-7085
Publisher:
The Optical Society
DOI:
10.1364/boe.401462
Author(s):
H. Awan, S. Balasubramaniam and A. Odysseos
Published in:
IEEE Transactions on NanoBioscience, Issue vol. 20, no. 3, 2021, Page(s) 296-310, ISSN 1536-1241
Publisher:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tnb.2021.3071922
Author(s):
Danz K, Höcherl T, Wien SL, Wien L, von Briesen H, Wagner S
Published in:
Pharmaceutics, Issue 14(4), 2022, Page(s) 737-754, ISSN 1999-4923
Publisher:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/pharmaceutics14040737
Author(s):
Damrath, M., Zoofaghari, M., Lekić, M., Rudsari, H. K., Pappalardo, F., Veletić, M., & Balasingham, I.
Published in:
Nano Communication Networks, Issue 37, 2023, Page(s) 100455, ISSN 1878-7789
Publisher:
Elsevier BV
DOI:
10.1016/j.nancom.2023.100455
Author(s):
Nsrein Ali; Hamid Reza Rezvani; Diana Motei; Sufyan Suleman; Walid Mahfouf; Isabelle Marty; Veli-Pekka Ronkainen; Seppo Vainio; Seppo Vainio
Published in:
Scientific Reports, Vol 10, Iss 1, Pp 1-17 (2020), Issue 21, 2020, ISSN 2045-2322
Publisher:
Nature Publishing Group
DOI:
10.1101/688887
Author(s):
Mladen Veletic, Michael Taynnan Barros, Hamidreza Arjmandi, Sasitharan Balasubramaniam, Ilangko Balasingham
Published in:
IEEE Transactions on NanoBioscience, Issue 19/3, 2020, Page(s) 357-367, ISSN 1536-1241
Publisher:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tnb.2020.2991794
Author(s):
M. Veletić and I. Balasingham
Published in:
Proceedings of the IEEE, Issue vol. 107, no. 7, 2019, Page(s) 1425-1441, ISSN 0018-9219
Publisher:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/jproc.2019.2915199
Author(s):
Ehsanul Hoque Apu; Md Nafiujjaman; Srikumar Sandeep; Ashley V. Makela; Ali Khaleghi; Seppo Vainio; Christopher H. Contag; Jinxing Li; Ilangko Balasingham; Taeho Kim; Nureddin Ashammakhi
Published in:
Materials Chemistry Frontiers, 2022, Page(s) 1368-1390, ISSN 2052-1537
Publisher:
Royal Society of Chemistry
DOI:
10.1039/d2qm00093h
Author(s):
Martin Damrath; Mladen Veletić; Hamid Khoshfekr Rudsari; Ilangko Balasingham
Published in:
IEEE Transactions on NanoBioscience, 2023, ISSN 1536-1241
Publisher:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tnb.2023.3287637
Author(s):
T. Tsuchiya, T. Saiki and T. Nakano
Published in:
2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT), Issue 2022, 2022, Page(s) 1-6, ISBN 978-1-6654-7251-7
Publisher:
IEEE
DOI:
10.1109/ismict56646.2022.9828353
Author(s):
El Hamidieh A, Dietis N, Samoylenko A, Meiser I, Nicolaou N, Abdelrady E, Zhyvolozhnyi A, Vainio S, Odysseos AD.
Published in:
2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT), Issue 2022, 2022, Page(s) 1-6
Publisher:
IEEE
DOI:
10.1109/ismict56646.2022.9828125
Author(s):
A. Bilal, A. Quddious, A. Kanno, T. Kawanishi, M. A. Antoniades and S. Iezekiel
Published in:
2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI), 2023, Page(s) 1643-164, ISBN 9781665442282
Publisher:
IEEE
DOI:
10.1109/usnc-ursi52151.2023.10238025
Author(s):
A. Quddious, A. Bilal, C. Pitris, A. D. Odysseos and S. Iezekiel
Published in:
2023 IEEE MTT-S International Microwave Biomedical Conference (IMBioC), 2023, Page(s) 169-171, ISBN 978-1-6654-9217-1
Publisher:
IEEE
DOI:
10.1109/imbioc56839.2023.10304886
Author(s):
C. Fonseca, M. T. Barros, A. Odysseos and S. Balasubramaniam
Published in:
CC 2021 - IEEE International Conference on Communications, Issue 2021, 2021, Page(s) 1-7
Publisher:
IEEE
DOI:
10.1109/icc42927.2021.9500631
Author(s):
Milica Lekic; Mohammad Zoofaghari; Mladen Veletic; Ilangko Balasingham
Published in:
NANOCOM '22: Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication, Issue 3, 2022
Publisher:
Association for Computing Machinery
DOI:
10.1145/3558583.3558843
Author(s):
Tadashi Nakano, Yutaka Okaie, Nikolaos Dietis, Andreani D. Odysseos
Published in:
GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020, Page(s) 1-6, ISBN 978-1-7281-8298-8
Publisher:
IEEE
DOI:
10.1109/globecom42002.2020.9322529
Author(s):
Mladen Veletić, Michael Taynnan Barros, Ilangko Balasingham, Sasitharan Balasubramaniam
Published in:
Proceedings of the Sixth Annual ACM International Conference on Nanoscale Computing and Communication - NANOCOM '19, 2019, Page(s) 1-7, ISBN 9781-450368971
Publisher:
ACM Press
DOI:
10.1145/3345312.3345478
Author(s):
Abdul Quddious; Asif Bilal; Andreani D. Odysseos; Constantinos Pitris; Stavros Iezekiel
Published in:
2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI), 2023, Page(s) 1269-1270, ISBN 9781665442282
Publisher:
IEEE
DOI:
10.1109/usnc-ursi52151.2023.10237498
Author(s):
M. Fournelle, A. Fadel, F. -J. Becker, M. Moses, M. Schmieger and S. Tretbar
Published in:
2022 IEEE International Ultrasonics Symposium (IUS), Issue 2022, 2022, Page(s) 1-4
Publisher:
IEEE
DOI:
10.1109/ius54386.2022.9958097
Author(s):
Hamdan Awan; Andreani Odysseos; Niovi Nicolaou; Sasitharan Balasubramaniam
Published in:
2021 IEEE Global Communications Conference (GLOBECOM), Issue 2021, 2021, Page(s) 1-6
Publisher:
IEEE
DOI:
10.1109/globecom46510.2021.9685860
Author(s):
Fonseca, Caio and Barros, Michael Taynan and Odysseos, Andreani and Kidambi, Srivatsan and Balasubramaniam, Sasitharan
Published in:
Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication, Issue 2022, 2022, Page(s) 1-8, ISBN 9781450398671
Publisher:
Association for Computing Machinery
DOI:
10.1145/3558583.3558864
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