Background

Dementia affects around 50 million people globally, with nearly 10 million new cases annually. Alzheimer’s disease accounts for up to 70% of cases and represents a major cause of disability among older adults.

Current care faces limitations in social inclusion and independence for the elderly. ICT-based solutions can enhance cognitive function, independence, and quality of life. Preventive strategies include physical activity, cognitive engagement, and social participation, elements that RODE seeks to integrate digitally.

The project

RODE pursues the following objectives:

• Develop a cognitive exercise platform to measure and slow dementia progression.
• Integrate wearable devices and tablets for personalized treatment and monitoring.
• Localize e-care systems to adapt to pilot countries’ needs.
• Provide scientifically backed treatment and training methods to improve patients’ cognitive and daily functions.
• Enable inclusion and independence of elderly people through ICT-driven health tools.

The science

The project combines artificial intelligence, health informatics, and geriatric care:

• AI algorithms for personalized cognitive exercises and monitoring.
• Integration of wearable devices (GPS, tablets) to support patients and caregivers.
• Pilot implementations in multiple countries for real-world validation.
• Development of ethical and culturally adapted dementia care models.

The team

The RODE partners are:

• Dr. Osman Tolga Kaskati (Coordinator), BYS Grup, Turkey
• Dr. Romulo de Castro, Center for Informatics, University of San Agustin, Philippines
• Dr. Martina Nasrun, Indonesia Medical Education and Research Institute (IMERI FK-UI), Indonesia

Contact:

Dr. Osman Tolga Kaskati                        Email: tolga.kaskati@bysproje.com 

Background

COVID-19 continues to spread rapidly, with severe risks for vulnerable groups such as people with chronic conditions and pregnant women. Telemedicine offers a way to minimize exposure by allowing remote care for mildly ill patients while supporting preventive strategies.

The project also addresses secondary challenges of the pandemic, such as the safe management of medical waste from households and self-quarantine patients. By incorporating smart dropbox locations and community education, it seeks to mitigate contamination risks.

The project

Telemedicine pursues the following objectives:

• Develop a health integration system for pandemic detection and monitoring.
• Incorporate 3D smart city models using GNSS and LIDAR for tracing and spatial analysis.
• Integrate smartphone-based telemedicine tools linked with GNSS positioning and health databases.
• Assess environmental conditions to study links between air quality, weather, and COVID-19 risk.
• Address pandemic-related waste management through smart collection and education systems.

The science

The project integrates geospatial technologies, environmental monitoring, and digital health:

• 3D city modeling using GNSS/LIDAR integration.
• Smartphone-enabled telemedicine applications for patient monitoring and data collection.
• Environmental data analysis on air pollution and weather impacts on disease risk.
• Smart waste management systems to reduce contamination from medical waste.

The team

The Telemedicine partners are:

• Dr. Mokhamad Nur Cahyadi (Coordinator), Institut Teknologi Sepuluh Nopember (ITS), Indonesia
• Assoc. Prof. Lachezar Hristov Filchev, Bulgarian Academy of Sciences (BAS), Bulgaria

Contact:

Dr. Mokhamad Nur Cahyadi