Results – LifeChamps

Deliverable 1.2 (Public)

Project handbook with strategic plan for quality assurance and risk management (AUTH)

Submitted

Deliverable 1.3 (Confidential)

Data management plan (CLS)

Deliverable 1.4 (Confidential)

Interim project report (AUTH)

Deliverable 1.5 (Public)

Report on awareness and wider societal implications (AUTH)

Submitted

Deliverable 1.6 (Confidential)

Final project report (AUTH)

Submitted

WP2: Requirements Analysis, Pilot Use Cases and Functional Architecture | Lead Partner: UPV

Deliverable 2.1 (Public)

Vision scenarios and use cases definition (HULAFE)

Deliverable 2.2 (Public)

End-user/stakeholder requirements - initial version (UofG)

Deliverable 2.3 (Public)

Selected person outcome metrics (UofG)

Deliverable 2.4 (Confidential)

LifeChamps platform and reference architecture - initial version (UPV)

Deliverable 2.5 (Public)

End-user/stakeholder requirements - final version (UofG)

Deliverable 2.6 (Confidential)

LifeChamps platform and reference architecture - final version (UPV)

WP3: Big Data Platform and HPC Infrastructure | Lead Partner: EMC

Deliverable 3.1 (Public)

Container infrastructure and libraries for Big Data analytics on HPC (EMC)

Deliverable 3.2 (Confidential)

Containerized HPC cloud engine (EMC)

Deliverable 3.3 (Confidential)

LifeChamps sensing solution (KI)

Submitted

Deliverable 3.4 (Public)

Data aggregation and streams processing algorithms (AUTH)

Submitted

Deliverable 3.5 (Confidential)

Health data intelligence cloud service (CLS)

WP4: AI-enabled Data Analytics Engine | Lead Partner: ALPT

Deliverable 4.1 (Confidential)

LifeChamps advanced and exploratory analytics algorithms (UoS)

Submitted

Deliverable 4.2 (Confidential)

LifeChamps predictive model (ALPT)

Submitted

Deliverable 4.3 (Confidential)

LifeChamps scalable analytics engine (ALPT)

Submitted

Deliverable 4.4 (Confidential)

LifeChamps edge analytics engine and Cloud to Edge Control Plane (AUTH)

WP5: End User Applications and Clinical Decision Support | Lead Partner: SALU

Deliverable 5.1 (Confidential)

Frailty phenotype expert model (HULAFE)

Deliverable 5.2 (Confidential)

LifeChamps recommendation engine (SALU)

Submitted

Deliverable 5.3 (Confidential)

LifeChamps dashboard for healthcare professionals (UPV)

Submitted

Deliverable 5.4 (Confidential)

LifeChamps end user application (SALU)

WP6: LifeChamps Platform Integration and Testing | Lead Partner: INTRA

Deliverable 6.1 (Confidential)

LifeChamps integration plan and development environment setup (INTRA)

Deliverable 6.2 (Confidential)

LifeChamps integrated platform – initial version (INTRA)

Deliverable 6.3 (Confidential)

Technical integration and functional testing results (INTRA)

Submitted

Deliverable 6.4 (Confidential)

LifeChamps integrated platform – final version (INTRA)

Submitted

WP7: Pilots Specification, Demonstration and Evaluation | Lead Partner: AUTH

Deliverable 7.1 (Public)

Pilot evaluation framework and measures specifications (AUTH)

Deliverable 7.2 (Confidential)

Roll-out agenda (HULAFE)

Submitted

Deliverable 7.3 (Confidential)

Frailty Evaluation Datasets (UofG)

Submitted

Deliverable 7.4 (Confidential)

Pilot trials in real-life environments (AUTH)

Submitted

Deliverable 7.5 (Public)

User Acceptance Evaluation (ALPT)

Submitted

Deliverable 7.6 (Public)

Evidence of Effectiveness on Person and Care Outcomes (UPV)

Submitted

Deliverable 7.7 (Public)

Cost Effectiveness Study (APC)

Submitted

WP8: Dissemination, Communication and Exploitation of Results | Lead Partner: CLS

Deliverable 8.1 (Public)

Plans for dissemination, communication and exploitation (CLS)

Deliverable 8.2 (Public)

Initial report on dissemination, communication, standardisation and exploitation (CLS)

Submitted

Deliverable 8.3 (Public)

Interim report on dissemination, communication, standardisation and exploitation (CLS)

Submitted

Deliverable 8.4 (Public)

Final report on dissemination, communication, standardisation and exploitation (CLS)

Submitted

Deliverable 8.5 (Confidential)

Market analysis, roadmapping and business modeling report (ALPT)

Submitted

Deliverable 8.6 (Confidential)

Report on connections with stakeholders (ECPC)

Submitted

WP9: Ethics requirements | Lead Partner: AUTH

Deliverable 9.1 (Confidential)

H - Requirement No. 1 (AUTH)

Deliverable 9.2 (Confidential)

H - Requirement No. 2 (AUTH)

Submitted

Deliverable 9.3 (Confidential)

POPD - Requirement No. 4 (AUTH)

Deliverable 9.4 (Confidential)

H - Requirement No. 7 (AUTH)

Deliverable 9.5 (Confidential)

H - Requirement No. 8 (AUTH)

Submitted

Scientific publications in journals:

Dimitriadis, I., Georgiou, K., & Vakali, A., 2021. Social botomics: A systematic ensemble ml approach for explainable and multi-class bot detection. Applied Sciences, 11(21), 9857. https://doi.org/10.3390/app11219857
Dimitriadis, I., Mavroudopoulos, I., Kyrama, S., Toliopoulos, T., Gounaris, A., Vakali, A., … & Bamidis, P. (2022). Scalable real-time health data sensing and analysis enabling collaborative care delivery. Social Network Analysis and Mining, 12(1), 1-22. https://doi.org/10.1007/s13278-022-00891-y
Marshall-McKenna, R., Kotronoulas, G., Kokoroskos, E. et al. A multinational investigation of healthcare needs, preferences, and expectations in supportive cancer care: co-creating the LifeChamps digital platform. J Cancer Surviv (2022). https://doi.org/10.1007/s11764-022-01289-7
Valero-Ramon, Z., Fernandez-Llatas, C., Collantes, G., Valdivieso, B., Billis, A., Bamidis, P., & Traver, V. (2023). Analytical exploratory tool for healthcare professionals to monitor cancer patients’ progress. Frontiers in Oncology, 12. https://doi.org/10.3389/fonc.2022.1043411
Dimitriadis, Ilias, et al. “TG-OUT: temporal outlier patterns detection in Twitter attribute induced graphs.” World Wide Web 25.6 (2022): 2429-2453. https://doi.org/10.1007/s11280-021-00986-0
Karanatsiou, Dimitra, et al. “My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social Networks.” ACM Transactions on the Web (TWEB) 16.2 (2022): 1-26. https://doi.org/10.1145/3523749
Poiitis, Marinos, Athena Vakali, and Nicolas Kourtellis. “On the aggression diffusion modeling and minimization in online social networks.” arXiv preprint arXiv:2005.10646 (2020). https://doi.org/10.48550/arxiv.2005.10646
Toliopoulos, Theodoros, and Anastasios Gounaris. “Adaptivity in continuous massively parallel distance-based outlier detection.” Computing 104.12 (2022): 2659-2684. https://doi.org/10.1007/s00607-022-01101-5

Scientific peer-reviewed papers in conference:

Hors-Fraile, S., Núñez-Benjumea, F.J., Salminen, P., Jiménez-Día, A., Ayanz-Blanca, A., Signorelli, G.R, & Fernández-Luque, L., 2020. Plataforma digital multidimensional. Apoyo a la calidad de vida de pacientes con cancer [Poster]. In: 2020 INFORS@LUD “Transformando nuestro Sistema de Salud”, Madrid, Spain: SEIS.
Kotronoulas, G., Marshall-McKenna, R., Kokoroskos, E., Gil Granados, A., Papachristou, P., Papachristou, N., McGowan, S., Petridis, G., Collantes, G., Bamidis, P. & Billis, A., 2021. Co-Creation In Action: End-Users’ Expectations And Desired Functionality Of A Developing Digital Support Platform For Older Adults After Initial Cancer Treatment. [Oral Proffered Paper]. Supportive Care in Cancer, 2021. Abstract for MASCC/ISOO Annual Meeting 2021. 29(S1), pp.1-261. https://doi.org/10.1007/s00520-021-06285-8
McGowan, S., Kotronoulas, G, Reppou, R., Papachristou, N., Kokoroskos, E., Abtahi, F., Seoane Martínez, F., Gil Granados, A., Collantes Pablo, G., Bamidis, P.& Billis, A., 2021. Identification and use of existing psychometrically robust person -reported outcomes measures to support delivery of geriatric cancer care [Poster]. Supportive Care in Cancer, 2021. Abstracts for MASCC/ISOO Annual Meeting 2021. 29(S1), pp.1-261. https://doi.org/10.1007/s00520-021-06285-8
Marshall-McKenna, R., Kotronoulas, G, Kokoroskos, E., Gil Granados, A., Papachristou, P., Papachristou, N., McGowan, S., Petridis, G., Collantes, G., Billis, A. & Bamidis P., 2021. Health professionals’ views on the support needed by older adults post-initial cancer treatment [Poster]. Supportive Care in Cancer, 2021. Abstracts for MASCC/ISOO Annual Meeting 2021. 29(S1), pp.1-261. https://doi.org/10.1007/s00520-021-06285-8
Marshall-McKenna, R., Kotronoulas, G, Kokoroskos, E., Gil Granados, A., Papachristou, P., Papachristou, N., McGowan, S., Petridis, G., Collantes, G., Billis, A. & Bamidis P. (2021). The healthcare needs of ageing adults following initial cancer treatment across four European countries [Poster]. Supportive Care in Cancer, 2021. Abstracts for MASCC/ISOO Annual Meeting 2021. 29(S1), pp.1-261. https://doi.org/10.1007/s00520-021-06285-8
Valero-Ramon, Z., Fernandez-Llatas, C., & Louro, P. 2021. LifeChamps: A Collective Intelligent Platform to Support Cancer Champions [Oral Dissemination Presentation]. In: IEEE BHI 2021 – Special Sessions – Real World Data analytics supporting High Value Care. [online] IMIA. DOI: https://doi.org/10.3233/shti220241
Kotronoulas, G., Marshall-McKenna, R., Kokoroskos, E., Granados, A. G., Papachristou, P., Papachristou, N., … & Billis, A., 2021. Older adults’ healthcare needs and expectations of a developing digital platform to enhance supportive care post treatment: Co-creation across four countries [Poster]. Abstract for SIOG annual conference 2021. Journal of Geriatric Oncology, 12(8), S31. https://doi.org/10.1016/S1879-4068(21)00386-6

Architecture, Pilot Use Cases, Stakeholder Involvement and Solution Requirements of the LifeChamps project

Pilot sites and study design of the LifeChamps project

Cancer Survivorship and AI for Well-being: A European research projects collaborative perspective

Digital Platform to Evaluate and Predict Quality of Life of older cancer survivors