CARAMEL project

Cardiovascular Risk Assessment via Multimodal Data Analysis Enabling Personalized Prevention Strategies for MenopausaL Women - CARAMEL

CARAMEL (CArdiovascular Risk Assessment via Multimodal Data Analysis Enabling Personalized Prevention Strategies for MEnopausaL Women) is an EU-funded research project under Horizon Europe’s Health Cluster. It aims to revolutionize cardiovascular disease (CVD) prevention for women aged 40–60 by integrating artificial intelligence, molecular biomarkers, and digital health innovations to deliver tailored, data-driven prevention strategies.

 

CVD is the leading cause of death among women in Europe, particularly rising during and after menopause. Yet, it remains underdiagnosed due to models that often overlook sex- and gender-specific factors. CARAMEL addresses this gap by developing personalized risk assessment tools that reflect the unique needs of menopausal women.

 

Key innovations include a digital self-care platform and mobile app, co-designed with women to ensure user-centered solutions. The project also prioritizes inclusion, incorporating the experiences of women with intellectual disabilities to better understand their menopausal journey.

 

Using a wide array of advanced diagnostics—such as wearable sensor data, imaging, volatolomics, and molecular markers—CARAMEL will validate its tools through real-world clinical studies, setting new standards for personalized CVD prevention in women.

SmartNanoSense’s Role in caramel

SmartNanoSense Innovation (SNSI) plays a pivotal role in the EU-funded CARAMEL project by leading the development, production, and integration of an advanced wearable skin patch designed for non-invasive cardiovascular risk assessment in menopausal women. These NFC-enabled, battery-free patches contain six chemiresistive sensors based on carbon-black polymer technology, optimized to detect patterns of volatile organic compounds (VOCs) and other physiological indicators related to cardiovascular health. SNSI is responsible for producing and distributing 1,200 patches across clinical sites participating in the CARAMEL-OS observational study . Additionally, SNSI leads the AI modeling of skin patch data, using pattern recognition to identify sensor signatures that correlate with cardiovascular conditions, contributing to the personalized risk stratification framework of the project.

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