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The Brain Health Toolbox: Facilitating personalized decision-making for effective dementia prevention

Descripción del proyecto

Una estrategia innovadora para la predicción y la prevención de la demencia

La prevención de la enfermedad de Alzheimer y la demencia constituye una prioridad mundial que requiere un enfoque preventivo multimodal innovador. En el proyecto Brain Health Toolbox, financiado con fondos europeos, se diseñará una estrategia para desarrollar un método de predicción precisa y de prevención eficaz de la demencia. Esto incluye el empleo de modelos de enfermedad y herramientas predictivas para la prevención, ensayos de tratamiento preventivo y la vinculación de métodos no farmacológicos y farmacológicos. Los modelos de enfermedad y las herramientas predictivas serán multidimensionales e incluirán una amplia gama de factores de riesgo y tipos de biomarcadores. El aprendizaje automático permitirá caracterizar los factores más importantes que contribuyen al nivel de riesgo general de una persona. Brain Health Toolbox abarcará toda la población de pacientes en fases preclínicas de la enfermedad y proporcionará herramientas para la toma de decisiones personalizadas para la prevención de la demencia.

Objetivo

Preventing dementia and Alzheimer disease (AD) is a global priority. Previous single-intervention failures stress the critical need for a new multimodal preventive approach in these complex multifactorial conditions. The Brain Health Toolbox is designed to create a seamless continuum from accurate dementia prediction to effective prevention by i) developing the missing disease models and prediction tools for multimodal prevention; ii) testing them in actual multimodal prevention trials; and iii) bridging the gap between non-pharmacological and pharmacological approaches by designing a combined multimodal prevention trial based on a new European adaptive trial platform. Disease models and prediction tools will be multi-dimensional, i.e. a broad range of risk factors and biomarker types, including novel markers. An innovative machine learning method will be used for pattern identification and risk profiling to highlight most important contributors to an individual’s overall risk level. This is crucial for early identification of individuals with high dementia risk and/or high likelihood of specific brain pathologies, quantifying an individual’s prevention potential, and longitudinal risk and disease monitoring, also beyond trial duration. Three Toolbox test scenarios are considered: use for selecting target populations, assessing heterogeneity of intervention effects, and use as trial outcome. The project is based on a unique set-up aligning several new multimodal lifestyle trials aiming to adapt and test non-pharmacological interventions to different geographic, economic and cultural settings, with two reference libraries (observational - large datasets; and interventional - four recently completed pioneering multimodal lifestyle prevention trials). The Brain Health Toolbox covers the entire continuum from general populations to patients with preclinical/prodromal disease stages, and will provide tools for personalized decision-making for dementia prevention.

Régimen de financiación

ERC-STG - Starting Grant

Institución de acogida

ITA-SUOMEN YLIOPISTO
Aportación neta de la UEn
€ 1 498 268,00
Dirección
YLIOPISTONRANTA 8
70211 KUOPIO
Finlandia

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Región
Manner-Suomi Pohjois- ja Itä-Suomi Pohjois-Savo
Tipo de actividad
Higher or Secondary Education Establishments
Enlaces
Coste total
€ 1 498 268,00

Beneficiarios (1)