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LETHE (λήθη) – A personalized prediction and intervention model for early detection and reduction of risk factors causing dementia, based on AI and distributed Machine Learning


LETHE Interoperability Framework

This deliverable defines the interoperability frameworks and provides possible modules or interfaces needed FHIR API eg

Study protocol

Description of the detailed study protocol

Long-term data collection report

This deliverable provides the data and description of the long term data used for the LETHE model extension

Report on PPI activities and impact I

This deliverable provides a report I of the activities regarding Public an Patient Involvement

Dissemination and Communication plan

This report includes the dissemination and communication plan of the consortium as a whole and of each single partner distributed in progressive phases

Detailed evaluation plan for the pilot's assessment and evaluation (including metrics)

This deliverable provides an updated version of the MAFEIP framework to be used to evaluate the pilots

LETHE architecture and scenarios

This deliverables provides the a first version of technical architecture defining all modules as responsibilities as well as interfaces and responsibilities for the validation trials

LETHE architecture update

This deliverables provides the final technical architecture updating interfaces based on learnings from the validation trials

Pilot site set up results

Finalized side setup and report

Recommendations on social and ethical implications of the project

This deliverable provides recommendations about end user related social and ethical implications of the project

LETHE deployment setup and handbook

This deliverable defines the LETHE deployment including a description of a LETHE setup roll out

Privacy and legal framework I

This deliverable will describe all the ethics and related legal aspects relevant for the project the associated actions and responsibilities already in place and to be implemented in the Data Management plan and will assess the impact in terms of fundamental rights data protection and privacy of the methods proposed in the context of the project

Communication Media pack for the LETHE project

Report of communication channels activated eg videos flyers banners social media and relevant KPIs achieved

Project Website

Web site for internal and external communication

Knowledge-base Model

This deliverable contains the implemented model as well as the description of the knowledge base model for data stream annotation.

Deployment of the LETHE infrastructure

This will be the service prototype, with a report to outline the final set-up of the cloud-based infrastructure for the LETHE project including the EOSC services tailored and links to open-source repositories of software used to address the project needs

LETHE sensing ecosystem

The deliverable presents in detail the sensing ecosystem of Lethe along with the supporting services.

Data Management plan and ORDP I

This deliverable will provide a general outline of the project policy for data management and describe the data management life cycle for all data sets that will be collected processed or generated by the LETHE project A first version of a data management plan DMP will furthermore provide the data protection policy for the project as well as justification for the collection and processing of sensitive personal data The DMP will as well describe technical and organizational measures that will be implemented to safeguard the rights and freedoms of the data subjectsresearch participants and in detail information on the informed consent procedures with regards to data processing as well as description of the anonymysation pseudonymisation techniques that will be implementedIn the case of research involves observation of the participants the respective beneficiaries will provide explanation how the data subjects will be informed of the existence of the monitoring its possible consequences and how their fundamental rights will be safeguardedIn case of further processing of previously collected personal data an explicit confirmation that the involved beneficiaries have lawful basis for the data processing and that the appropriate technical and organisational measures are in place to safeguard the rights of the data subjectsThe results of the performed comprehensive Data Protection Impact Assessments DPIAs in order to assess any potential risks arising from the processing activities planned and to assess the effectiveness of the technical and organisational measures taken for the protection of the rights and freedoms of the data subjects will be provided in this deliverable and updated in D62Concluding this deliverable will sum up and present in a concise manner the compliance datasheet and measures taken for all data collected processed stored and shared in accordance to GDPR and will adhere to the privacy principles regarding data collection and processing With the first version of the deliverable the Data Protection Officer DPO for all host institutions institutions where data are generated will be appointed and contact details given In this deliverable all beneficiaries involved in processing data will check if special derogations pertaining to the rights of data subjects or the processing of genetic biometric andor health data have been established under the national legislation of the country where the research takes place and submit a declaration of compliance with respective national legal frameworks Furthermore the respective beneficiaries will explain how all of the data they intend to process are relevant and limited to the purposes of the research project in accordance with the data minimisation principleThe Deliverable includes also the selection of research data to be provided with open access according OpenAire and EOSC prescriptions


Psycho-social impact of the diagnostic work-up at a specialized, fast-track memory clinic.

Author(s): Alara Abaci, Heleen M.A. Hendriksen, Malin Aspö, Maria Sundell, Fleur Wiggenraad, Marie Rydén, Miia Kivipelto, Wiesje M. van der Flier, Francesca Mangialasche, Leonie N.C. Visser
Published in: Alzheimer's Association International Conference, 2023
Publisher: Alzheimer's Association International Conference

Dementia prevention through personalized prediction and intervention, based on Artificial Intelligence and Machine Learning (LETHE): study design of a feasibility trial

Author(s): Anna Rosenberg, Jenni Lehtisalo, Jeroen Bruinsma, Markus Bödenler, Matteo Colombo, Rik Crutzen, Ana Diaz, Dimitrios, Anna Giulia Guazzarini, Jyrki Lötjönen, Bernhard Neumayer, Mattia Pirani, Bianca Schnalzer, Helena Untersteiner, Sten Hanke, Miia Kivipelto, Francesca Mangialasche, Patrizia Mecocci, Elisabeth Stögmann, Tiia Ngandu,
Publisher: University of Eastern Finland

Aivoterveyden edistämisen ajankohtaiset teemat

Author(s): Anna Rosenberg
Published in: Gerontologia Tampere 2023, 2023
Publisher: Gerontologia Tampere 2023

Integration of health initiatives with tools and services under the European Open Science Cloud (LETHE, FEMaLe and HealthyCloud) - workshop

Author(s): Ville Tenhunen, Francesco Mureddu, Juan Gonzalez-Garcia, Dmitrijs Bļizņuks
Published in: EGI Conference 2022, 2022
Publisher: EGI Conference 2022

LETHE: A Digital Intervention for Cognitive Decline

Author(s): Vasileios Loukas, Thomas Kassiotis, Ignacio Lamata Martinez, Lefteris Koumakis, Jeroen Bruinsma, Roberto Pasciuti, Monica Balatresi, Ville Tenhunen, Adam Fiakkas, Lelia Ataliani, Georgia Karanasiou, Manolis Tsiknakis, Hannes Hilberger, Markus Bödenler, Bianca Katharina Schnalzer, Simone Huber, Mattia Pirani, Matteo Colombo, Sten Hanke, Dimitrios I. Fotiadis
Published in: International Conference of the IEEE Engineering in Medicine and Biology Society, 2023
Publisher: International Conference of the IEEE Engineering in Medicine and Biology Society

WW-FINGERS updates: towards personalized prevention and global strategies

Author(s): Miia Kivipelto
Publisher: University of Eastern Finland

Digitally supported lifestyle program to promote brain health among older adults (LETHE pilot trial) – Study design and progress

Author(s): Anna Rosenberg, Helena Untersteiner, Anna Giulia Guazzarini, Jenni Lehtisalo, Charlotta Thunborg, Jeroen Bruinsma, Matteo Colombo, Rik Crutzen, Ana Diaz, Dimitrios Fotiadis, Hannes Hilberger, Simone Huber, Miia Kivipelto, Vassilis Loukas, Jyrki Lötjönen, Mattia Pirani, Bianca Schnalzer, Sten Hanke, Francesca Mangialasche, Patrizia Mecocci, Elisabeth Stögmann,Tiia Ngandu, LETHE Consortium
Published in: Alzheimer's Association International Conference, 2023
Publisher: Alzheimer's Association International Conference

Motivations of patients and their care partners for visiting a memory clinic. A qualitative study

Author(s): Leonie N.C. Visser; Agnetha Fruijtier; Marleen Kunneman; Femke H. Bouwman; Niki Schoonenboom; Salka S. Staekenborg; Hilje A. Wind; Liesbeth Hempenius; Marlijn H. de Beer; Gerwin Roks; Leo Boelaarts; Mariska Kleijer; Ellen M.A. Smets; Wiesje M. van der Flier
Published in: VOLUME=111;ISSN=0738-3991;TITLE=Patient Education and Counseling, Issue 2, 2023, ISSN 0738-3991
Publisher: Elsevier BV
DOI: 10.1016/j.pec.2023.107693

The public’s perspectives on lifestyle-related behavior change for dementia risk reduction: a qualitative study

Author(s): Jeroen BruinsmaIrene HegerVassilis LoukasThomas KassiotisGeorgia KaranasiouDimitrios I. FotiadisSten HankeRik Crutzen
Published in: Journal of Alzheimer's Disease, 2023, ISSN 1387-2877
Publisher: IOS Press
DOI: 10.31219/

Federated Learning with Dynamic Model Exchange

Author(s): Sten Hanke; Hannes Hilberger; Markus Bödenler
Published in: Electronics; Volume 11; Issue 10; Pages: 1530, 2022, ISSN 2079-9292
Publisher: MDPI electronics
DOI: 10.3390/electronics11101530

AI-Based Predictive Modelling of the Onset and Progression of Dementia

Author(s): Sten Hanke; Francesca Mangialasche; Markus Bödenler; Bernhard Neumayer; Tiia Ngandu; Patrizia Mecocci; Helena Untersteiner; Elisabeth Stögmann
Published in: Smart Cities; Volume 5; Issue 2; Pages: 700-714, Issue 5, 2022, ISSN 2624-6511
Publisher: MDPI Smart Cities
DOI: 10.3390/smartcities5020036

Dementia prevention through personalized prediction and intervention, basedon Artificial Intelligence and Machine Learning (LETHE): study design of a feasibility trial - Oral presentation

Author(s): Anna Rosenberg
Published in: 32 Alzheimer Europe Conference, 2022
Publisher: 32 Alzheimer Europe Conference

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