RADAR-AD videos explain its research, preliminary results and patient experiences with the project


What is the potential of digital technologies such as wearables, sensors, mobile apps and cameras to improve the assessment of Alzheimer’s disease? The RADAR-AD consortium publishes a series of videos in which RADAR-AD researchers, clinicians, industrial partners and patient representatives explain their work, highlight preliminary results and share their learnings and experiences with the RADAR-AD studies. There are seven videos in total:

1. RADAR-AD: research, results, future steps RADAR-AD’s academic lead - Dag Aarsland (King’s College London), and industrial lead - Gayle Wittenberg (Janssen Pharmaceutica NV), elaborate on the research done in the project, its clinical studies, the devices used, and consortium partners. They share preliminary results from RADAR-AD and outline plans for their exploitation and sustainability. Watch video 1: https://www.youtube.com/watch?v=4y54Qx1G-AE

2. Public involvement in RADAR-AD “Being part of RADAR-AD’s Patient Advisory Board has been an empowering experience” – Helen Rochford-Brennan, living with Alzheimer’s dementia, explains. “As a member, I was able to see first-hand the benefits of us all being involved in this together. We met on a regular basis with researchers and had lots of interaction about the devices that were to be used by the participants in the RADAR-AD study, such as watches, cameras and sensors. Our feedback was highly valued and we were able to influence change.” Watch video 2: https://www.youtube.com/watch?v=F1AfZe3n3uw

3. Functional domains, use of Machine Learning and Artificial Intelligence “We need a way to monitor the progression of Alzheimer's disease. Besides the conventional traditional questionnaires that track changes in cognition and memory, other assessment methods track limitations in patients’ functions or activities of daily living. We refer to functional domains as those activities of daily living that may impair patient's quality of life and are important to patients. In RADAR-AD, these were based on a literature search and patient's advisory board's input.” - Neva Coello (Novartis), RADAR-AD modelling work. Find out more about the functional domains chosen in RADAR-AD, the way patient representatives were involved in the process and the machine learning and artificial intelligence models applied to the RADAR-AD data. Watch video 3: https://www.youtube.com/watch?v=eaRfnYD1xjk

4. Digital technologies and data analysis in RADAR-AD The RADAR-AD technical team leads Srinivasan Vairavan (Janssen Pharmaceutica NV), Jelena Curcic (Novartis) and Spiros Nikoulopoulos (CERTH) shed light on the way digital devices were used in the RADAR-AD studies, the main findings from this work and the significance of these results for the wider field of Alzheimer’s research. Watch video 4: https://www.youtube.com/watch?v=npjQx01mBNY

5. RADAR-AD smart home study What is a smart home and how does it help people living with Alzheimer’s disease? RADAR-AD smart home lead Spiros Nikoulopoulos (CERTH) introduces the research conducted in the RADAR-AD’s smart home facility and shares his team’s result and conclusions. Watch video 5: https://www.youtube.com/watch?v=VQY1Y2XYsDI

6. Towards regulatory acceptance of remote monitoring technology-based assessment of functioning in Alzheimer’s disease Why is it important to engage with regulators when developing novel tools and methodologies? What are RADAR-AD’s key learnings from its interactions with regulatory bodies such as the European Medicines Agency and how will RADAR-AD’s partners use these results? Hear from the RADAR-AD regulatory workstream leads Vera Nies (Lygature), Gul Erdemli (Novartis) and Suzanne Foy (Janssen Pharmaceutica NV). Watch video 6: https://www.youtube.com/watch?v=roCGnAAcpuE

7. RADAR-base platform RADAR-base is an open source software platform for remote clinical trials, provided to the RADAR-AD project by The Hyve. In RADAR-AD, RADAR-base has been used to collect data from various data sources. “The need in RADAR-AD was to incorporate many types of devices such as accelerometers, cameras, apps in the RADAR-AD studies and collect data from those devices into one central data platform.” – Joris Borgdorff (The Hyve) explains. Learn more about the use of RADAR-base in RADAR-AD and the lessons learned in this video. Watch video 7: https://www.youtube.com/watch?v=Ce9z-dRcT_Q