MCI & CVD: Discover the Hidden Connection
Mild Cognitive Impairment (MCI) and Cardiovascular Disease (CVD) increasingly affect the ageing population, often co-occurring with relevant health impacts.
While MCI represents an early stage of cognitive decline, its connection with CVD suggests shared risk factors and potential causal mechanisms.
Early detection remains a major challenge, with up to 80% of MCI cases in CVD patients going undiagnosed.
Brigding MCI and CVD Can Protect Future Health
The link between MCI and CVD significantly impacts quality of life, prognosis, and healthcare systems.
MCI increases mortality rates in hypertensive patients by up to 14.6%, and its progression to dementia presents severe public health concerns.
Addressing this connection through innovative prevention strategies is essential for reducing disease burden and promoting healthy ageing in at-risk populations.
AI-Driven Prevention for Better Brain-Heart Health
DORIAN GRAY envisions a future where cognitive impairment in people with cardiovascular disease can be prevented through early, personalized, and scalable interventions.
By harnessing AI and digital health technologies, the project aims to deliver a widely accessible tool for cognitive enhancement - one that combines physical and mental stimulation and adapts to individual needs. This vision supports healthier ageing and empowers people to take control of their brain and heart health in daily life.
The DORIAN GRAY project investigates the connection between MCI and CVD to develop an AI-driven strategy for early detection and prevention.
By integrating real-world data from clinical records and wearable devices, AI will enable risk stratification and personalized interventions.
The PORTRAIT platform will model disease progression, while the MIRROR app will deliver an innovative avatar-based coaching exergame, combining cognitive training with physical activity in an engaging, personalized experience. This holistic and personalized approach aims to enhance enhance brain and heart health, promote behavioral change, and reduce cognitive decline.
The AI model will combine biomarkers, clinical imaging, and real-world data (RWD) from devices such as wearables to identify early signs of mild cognitive impairement and predict its progression, especially focusing on the aging population with cardiovascular risks factors.
The PORTRAIT platform, a Digital Twin technology based on a Big Data Framework, will use AI-driven simulations to model disease patterns, identify trends and monitor progress, allowing for the personalization of interventions tailored to individual patient profiles.
The MIRROR app will feature avatar-based exergaming, combining cognitive training and physical activity in a gamified format. This adaptive system will personalize exergames based on patient progress, enhancing engagement and promoting healthy aging.
Utilizing digital twins and other AI-driven simulations to customize patient care.
Wearable technology, clinical imaging, and digital biomarkers for early detection.
An innovative gamification-based intervention for physical and cognitive enhancement.
Early detection and lifestyle-based intervention strategies.
AI-powered tools for better risk assessment and decision-making.
Evidence-based insights for future prevention programs.