Alzheimer’s Disease (AD) Detect & Prevent: presymptomatic AD detection and prevention

Alzheimer’s disease (AD) is a major cause of the rapidly growing and crushing aging challenge that threatens to economically undermine today’s healthcare system. AD prevalence will grow to over 100 million cases in 2050. AD is incurable but can be prevented. Therefore, the most viable solution may be to detect very early signs of AD (presymptomatically) in citizens-at-risk and to intervene in time to reduce AD risk or prevent it entirely. The present project will refine and validate two breakthrough innovations for AD detection and AD prevention and commercialize them as a one-stop digital medical device, named ‘AD Detect & Prevent’. The first innovation is a highly sensitive cognitive assessment method recently pioneered by a group of researchers that has been shown to detect subtle presymptomatic stage cognitive decline specific to AD. This will be integrated with the second innovation – a digital AD prevention programme delivered on an award-winning computerized cognitive training and rehabilitation platform (app + web) that uses high intensity immersive and adaptive ‘neurogames’ and audio-based therapy for behavioural intervention, designed for strengthening core cognitive functions, building cognitive reserve, changing lifestyle and thus reducing the overall AD risk in individuals. The detection and prevention methods will undergo vigorous scientific validation, and the ambition is to create and become the global standard of care for precise presymptomatic detection of AD and effective AD prevention

European Health Data Space – an opportunity now to grasp the future of data-driven healthcare

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National plans and awareness campaigns as priorities for achieving global brain health

Neurological conditions are the leading cause of death and disability combined. This public health crisis has become a global priority with the introduction of WHO's Intersectoral Global Action Plan on Epilepsy and Other Neurological Disorders 2022–2031 (IGAP). 18 months after this plan was adopted, global neurology stakeholders, including representatives of the OneNeurology Partnership (a consortium uniting global neurology organisations), take stock and advocate for urgent acceleration of IGAP implementation. Drawing on lessons from relevant global health contexts, this Health Policy identifies two priority IGAP targets to expedite national delivery of the entire 10-year plan: namely, to update national policies and plans, and to create awareness campaigns and advocacy programmes for neurological conditions and brain health. To ensure rapid attainment of the identified priority targets, six strategic drivers are proposed: universal community awareness, integrated neurology approaches, intersectoral governance, regionally coordinated IGAP domestication, lived experience-informed policy making, and neurological mainstreaming (advocating to embed brain health into broader policy agendas). Contextualised with globally emerging IGAP-directed efforts and key considerations for intersectoral policy design, this novel framework provides actionable recommendations for policy makers and IGAP implementation partners. Timely, synergistic pursuit of the six drivers might aid WHO member states in cultivating public awareness and policy structures required for successful intersectoral roll-out of IGAP by 2031, paving the way towards brain health for all.</p

Rethinking the detection and diagnosis of Alzheimer’s disease: Outcomes of a European Brain Council project

Alzheimer’s disease (AD), the most common form of dementia, is a progressive and debilitating neurodegenerative condition which robs people of their memory, their independence, their relationships and, ultimately, their lives. It affects close to 7 million people in the European Union (EU) alone.The detection and diagnosis of AD relies on a system that remains focused on the late stage of the disease, despite a better understanding of the disease progression. Clinical practice and healthcare systems’ readiness to detect, diagnose and treat the disease effectively are still lagging. The use of biomarkers (cerebrospinal fluid tests (CSF) and positron emission tomography scans (PET)), which are central to a diagnostic assessment for people with AD symptoms, as well as relevant diagnostic facilities are under-utilised. PET imaging is expensive and of limited availability, and CSF sampling may be considered invasive.The European Brain Council’s ‘Rethinking Alzheimer’s disease: Detection and diagnosis’ White Paper has looked at the barriers to early diagnosis and how the healthcare systems infrastructure for detection and diagnosis of AD need to be transformed in order for people with AD to benefit from innovative solutions once they become approved for use

Alzheimer’s Disease (AD) Detect & Prevent: presymptomatic AD detection and prevention

Alzheimer’s disease (AD) is a major cause of the rapidly growing and crushing aging challenge that threatens to economically undermine today’s healthcare system. AD prevalence will grow to over 100 million cases in 2050. AD is incurable but can be prevented. Therefore, the most viable solution may be to detect very early signs of AD (presymptomatically) in citizens-at-risk and to intervene in time to reduce AD risk or prevent it entirely. The present project will refine and validate two breakthrough innovations for AD detection and AD prevention and commercialize them as a one-stop digital medical device, named ‘AD Detect & Prevent’. The first innovation is a highly sensitive cognitive assessment method recently pioneered by a group of researchers that has been shown to detect subtle presymptomatic stage cognitive decline specific to AD. This will be integrated with the second innovation – a digital AD prevention programme delivered on an award-winning computerized cognitive training and rehabilitation platform (app + web) that uses high intensity immersive and adaptive ‘neurogames’ and audio-based therapy for behavioural intervention, designed for strengthening core cognitive functions, building cognitive reserve, changing lifestyle and thus reducing the overall AD risk in individuals. The detection and prevention methods will undergo vigorous scientific validation, and the ambition is to create and become the global standard of care for precise presymptomatic detection of AD and effective AD prevention

Alzheimer’s Disease (AD) Detect & Prevent: presymptomatic AD detection and prevention

Alzheimer’s disease (AD) is a major cause of the rapidly growing and crushing aging challenge that threatens to economically undermine today’s healthcare system. AD prevalence will grow to over 100 million cases in 2050. AD is incurable but can be prevented. Therefore, the most viable solution may be to detect very early signs of AD (presymptomatically) in citizens-at-risk and to intervene in time to reduce AD risk or prevent it entirely. The present project will refine and validate two breakthrough innovations for AD detection and AD prevention and commercialize them as a one-stop digital medical device, named ‘AD Detect & Prevent’. The first innovation is a highly sensitive cognitive assessment method recently pioneered by a group of researchers that has been shown to detect subtle presymptomatic stage cognitive decline specific to AD. This will be integrated with the second innovation – a digital AD prevention programme delivered on an award-winning computerized cognitive training and rehabilitation platform (app + web) that uses high intensity immersive and adaptive ‘neurogames’ and audio-based therapy for behavioural intervention, designed for strengthening core cognitive functions, building cognitive reserve, changing lifestyle and thus reducing the overall AD risk in individuals. The detection and prevention methods will undergo vigorous scientific validation, and the ambition is to create and become the global standard of care for precise presymptomatic detection of AD and effective AD prevention

European Health Data Space-An Opportunity Now to Grasp the Future of Data-Driven Healthcare

: The May 2022 proposal from the European commission for a 'European health data space' envisages advantages for health from exploiting the growing mass of health data in Europe. However, key stakeholders have identified aspects that demand clarification to ensure success. Data will need to be freed from traditional silos to flow more easily and to cross artificial borders. Wide engagement will be necessary among healthcare professionals, researchers, and the patients and citizens that stand to gain the most but whose trust must be won if they are to allow use or transfer of their data. This paper aims to alert the wider scientific community to the impact the ongoing discussions among lawmakers will have. Based on the literature and the consensus findings of an expert multistakeholder panel organised by the European Alliance for Personalised Medicine (EAPM) in June 2022, it highlights the key issues at the intersection of science and policy, and the potential implications for health research for years, perhaps decades, to come