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NTU Singapore Spin-Off Collaborates with Osler Group to Unveil AI-Driven Tool for Early Dementia Detection

February 4, 2025
in Medicine
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Group photo of NTU, Gray Matter Solutions and Osler Group
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Nanyang Technological University (NTU) in Singapore has made significant strides in the realm of artificial intelligence and healthcare with the introduction of a groundbreaking AI-powered tool, ReCOGnAIze. This new screening tool is designed specifically for the early detection of mild cognitive impairment (MCI), which is a precursor to dementia. The collaboration between NTU’s spin-off company, Gray Matter Solutions, and Osler Group, a premier health and wellness organization, aims to provide an innovative solution that is both efficient and accessible.

Dementia manifests in numerous ways, and individuals often experience subtle memory lapses and difficulties with complex tasks during the early stages. Sadly, these symptoms do not significantly disrupt daily life, complicating the challenge of early detection. Traditional diagnostic methods rely heavily on resource-intensive neuropsychological tests and imaging studies like Magnetic Resonance Imaging (MRI), which can incur significant costs and time commitments. In stark contrast, the ReCOGnAIze tool promises to deliver results in a fraction of that timeframe.

Developed by researchers at NTU’s Lee Kong Chian School of Medicine, this AI-powered screening tool utilizes a series of specially designed neuroscientific games to help identify early signs of cognitive impairment in as little as 15 minutes. The underlying technology is informed by the findings from over 125,000 hours of research conducted at NTU’s Dementia Research Centre. This innovative approach shifts the paradigm of cognitive screening away from traditional methodologies, opening the doors to more efficient diagnostic options.

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What sets ReCOGnAIze apart is its unique structure comprised of four distinct games that assess various cognitive and behavioral domains relevant to MCI. These games have been engineered to engage users while facilitating a robust analysis of cognitive function, all facilitated through a proprietary algorithm. The potential of ReCOGnAIze is immense, particularly in Asia, where a staggering 250 million individuals suffering from chronic vascular conditions that predispose them to cognitive decline reside.

The urgency of the situation is underscored by current statistics; worldwide, 10 to 15 percent of those diagnosed with MCI progress to dementia annually. This highlights the critical need for early detection mechanisms that can facilitate timely interventions, thereby improving patient outcomes and quality of life. The clinical trials conducted thus far have shown that ReCOGnAIze is remarkably effective, reaching nearly 90 percent accuracy in identifying cases of MCI.

The development of this innovative tool originated from the efforts of Associate Professor Nagaendran Kandiah, who not only directs NTU’s Dementia Research Centre but also played a pivotal role in creating the technology. The collaborative endeavor with Gray Matter Solutions reflects NTU’s commitment to revolutionizing healthcare by harnessing the power of AI and advanced research methodologies.

Osler Group’s partnership in rolling out this screening tool emphasizes their devotion to personalized and holistic healthcare. During a preliminary period, the tablet-based games will be offered for free at Osler Health clinics, providing essential insights as part of their comprehensive health assessments. This crucial step signifies the integration of advanced technology into clinical environments, aligning with evolving healthcare landscapes where personalized care is paramount.

Gray Matter Solutions’ co-founder, Mohammed Adnan Azam, expresses enthusiasm about the collaboration with Osler, praising their mutual commitment to advancing personalized medicine. The partnership is not merely a business venture; it embodies a shared vision for using technology to transform healthcare delivery. By tracking cognitive health over time, physicians can gain invaluable insights into patients’ conditions and the effectiveness of therapeutic interventions.

Furthermore, Dr. Clarice Chia Woodworth, Osler Group’s Founding Director and Chief Strategy Officer, lauds the incorporation of the AI-powered tool as an enhancement to their commitment to holistic medical screenings. The alignment with evidence-based science represents a significant leap towards more tailored healthcare solutions. As healthcare continues to evolve with technological advancements, it is essential for institutions like Osler and NTU to remain at the forefront of these developments.

Given the projected increase in dementia cases in Singapore—expected to exceed 150,000 by 2030 due to an aging demographic—early detection becomes crucial. The alarming global statistics add urgency to this issue, as more than 55 million people worldwide currently have dementia, and without effective intervention, that figure is destined to rise. Notably, the manifestation of dementia varies across populations, which necessitates culturally specific tools like ReCOGnAIze that reflect the complexities of different medical conditions.

Clinical research has highlighted that dementia often arises differently within Asian populations compared to Western contexts, further complicating early detection. Therefore, the ReCOGnAIze tool’s design, which assesses a variety of cognitive functions through engaging gameplay, is particularly significant. Tasks range from memory exercises to problem-solving challenges, offering a comprehensive evaluation of cognitive health.

The rigorous validation process, which involved 230 participants as part of the Biomarkers and Cognition Study in Singapore, demonstrated that ReCOGnAIze achieved an impressive 89 percent accuracy in detecting MCI. This rigorous clinical research lays a solid foundation for the tool’s deployment in real-world healthcare settings, assuring both clinicians and patients of its reliability.

The collaboration between Gray Matter Solutions and Osler Group signifies an important step towards establishing scalable and affordable methods for early dementia detection. This innovative partnership casts a hopeful light on the future landscape of dementia care, where technology plays an integral role in understanding and combating cognitive declines.

In conclusion, the integration of AI-driven tools like ReCOGnAIze into the healthcare system marks a transformative phase in how we approach early detection and management of cognitive disorders. By embracing such innovations, we not only enhance diagnostic processes but also empower healthcare professionals to offer personalized and effective care strategies to patients at risk of cognitive impairments.

In moving forward, Gray Matter Solutions aspires to expand its offerings and collaborate with various health organizations both locally and internationally. This ambitious goal illustrates a commitment to addressing the pressing challenges in dementia care across populations, etching a path toward a future where early diagnosis is not just an aspiration but a reality for millions worldwide.

Subject of Research: Early detection of Mild Cognitive Impairment (MCI)
Article Title: NTU Singapore Spin-Off Unveils Revolutionary AI Tool for Early Dementia Screening
News Publication Date: October 5, 2023
Web References: NTU Singapore
References: World Health Organisation
Image Credits: Credit: NTU Singapore

Keywords: Dementia, Mild Cognitive Impairment, Artificial Intelligence, Healthcare Innovation, Early Detection, Clinical Research, Personalized Medicine, Neuropsychological Evaluation, Cognitive Health.

Tags: accessible cognitive health solutionsadvancements in AI for healthcareAI-driven dementia detectioncollaboration between Gray Matter Solutions and Osler Groupearly cognitive impairment screeningearly signs of dementia symptomsefficient dementia diagnosis technologyneuroscientific games for memory assessmentNTU Singapore healthcare innovationrapid cognitive screening toolsReCOGnAIze tool for MCItraditional vs modern diagnostic methods
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