logo

Multimodal Engagement and sustainable Lifestyle Interventions Optimizing breast cancer Risk reduction supported by Artificial intelligence

Sector: Hospital • Location: Greece, Sweden, Spain, Lithuania, Poland, Belgium, Germany

Source: EU Funding & Tenders Portal

Project
Ongoing

MELIORA Consortium will jointly work with local actors at different levels for the realization of eight (8) in total tailor-made lifestyle intervention and behavioural modification studies, including Artificial intelligence and digital tools, to promote sustainable behavioural changes among three target populations: i) healthy women at risk of developing breast cancer, ii) breast cancer patients a

Project Information FAQ

Project Information

3 Q
The project “Multimodal Engagement and sustainable Lifestyle Interventions Optimizing breast cancer Risk reduction supported by Artificial intelligence” is an infrastructure initiative in the Hospital sector, located in Greece, Sweden, Spain, Lithuania, Poland, Belgium, Germany. Taiyo aggregates data on it from EU Funding & Tenders Portal.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

ongoing

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

MELIORA Consortium will jointly work with local actors at different levels for the realization of eight (8) in total tailor-made lifestyle intervention and behavioural modification studies, including Artificial intelligence and digital tools, to promote sustainable behavioural changes among three target populations: i) healthy women at risk of developing breast cancer, ii) breast cancer patients and iii) breast cancer survivors. The studies will take place across 4 different European countries (Greece, Sweden, Spain and Lithuania) and 6 piloting centres targeting 2000 women in urban and rural areas including participants throughout the socioeconomic spectrum. Primary health care centres, hospitals or patients’/survivors’ organisations will be used as entry points to the community. The goal of the MELIORA Virtual Coach interventions is to evaluate its effectiveness, through assessing the effect of multiple individual and contextual factors to the uptake and sustainability of behavioural changes. At the same time, identification of specific bottlenecks and barriers that prevent the uptake of sustainable behavioural change will support the development of approaches on how to best reach and involve disadvantaged socio-economic population groups, vulnerable groups, and people living in rural areas, and will provide best practices for behavioural intervention uptake and scale-up. Regular monitoring will be ongoing during the implementation to allow corrective actions and ensure effective adaptation and uptake. Based on the study outcomes, the health economic evaluation and budget impact analysis, and data deriving from the scalability assessment, national and European stakeholders will be invited to evaluate, through workshops, the potential for adoption of the MELIORA Virtual Coach Interventions in other regions or countries in Europe. This action is part of the Cancer Mission cluster of projects on “Prevention & early detection (behavioural change).

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data