KAUST researchers are exploring the link between nutrition and brain-energy metabolism to address cognitive decline, dementia, and Alzheimer’s disease. Dr. Pierre Magistretti and Dr. Johannes le Coutre are collaborating on ways to merge brain-energy metabolism research into the field of nutrition. They published an article entitled “Goals in Nutrition Science 2015-2020” in the journal Frontiers in Nutrition. Why it matters: This research could lead to nutritional interventions to hinder or prevent cognitive decline, offering a new approach beyond traditional drug treatments.
MBZUAI researchers developed ClinGRAD, a multimodal graph neural network that analyzes genomic data, MRI scans, and clinical information to classify dementia types (Alzheimer's, vascular, etc.). The system addresses the challenge of high misdiagnosis rates (up to 30%) in dementia, where incorrect diagnoses can significantly impact patient life expectancy. ClinGRAD aims to be an interpretable AI system, providing explainability to clinicians. Why it matters: Accurate and early diagnosis of dementia subtypes is crucial for slowing disease progression and improving patient care in the region, where the prevalence of dementia is expected to rise significantly.
A professor from Nanyang Technological University (NTU), Singapore gave a talk at MBZUAI about "Just-Noticeable Difference (JND)" models in visual intelligence. The talk covered visual JND models, research and applications, and future opportunities for JND modeling. JND can help tackle big data challenges with limited resources by focusing on user-centric and green systems. Why it matters: Exploring JND could lead to advancements in AI applications related to visual signal processing, image synthesis, and generative AI in the region.
MBZUAI valedictorian Salma Hassan developed a multimodal graph learning approach for early dementia diagnosis and prognosis. Her master's thesis focused on differential diagnosis to identify specific dementia subtypes and predicting cognitive decline in preclinical patients. The AI model leverages brain imaging, genetics, and clinical records to improve diagnostic accuracy. Why it matters: This research can improve early detection and resource allocation for dementia management, especially in developing countries.
MBZUAI Professor Fakherddine Karray is developing deep learning algorithms for human activity recognition to monitor the health and safety of elderly people. The AI tools analyze movement, posture, and facial expressions to detect early warning signs of health emergencies. Remote patient monitoring systems integrate smart devices and secure communication to allow elderly patients to stay at home and communicate with healthcare providers. Why it matters: AI-powered smart homes can provide affordable healthcare solutions for the rapidly growing elderly population in the region and worldwide.
KAUST hosted the Nature Conferences: Brain Energy Metabolism in Health and Disease, convening experts to discuss brain energy use and its impact on function and disease. Researchers from KAUST and global institutions shared insights on metabolic interactions among brain cells and the brain's role in whole-body energy regulation. KAUST's President Sir Edward Byrne emphasized brain health as essential for the cognitive economy, aligning with Saudi Arabia’s Vision 2030. Why it matters: The conference highlights KAUST's growing role in global neuroscience research and its commitment to addressing critical health challenges through international collaboration.
Dr. Yves Agid from the ICM Paris Institute of Translational Neuroscience lectured at KAUST's 2018 Winter Enrichment Program about the role of glial cells in brain function and behavior. He highlighted that glial cells, often overlooked in research, are crucial for neural synchronization and overall intelligence. Dysfunction of glial cells can induce pathologies like Alzheimer's and Parkinson's disease. Why it matters: The lecture underscored the importance of studying glial cells in addition to neurons for understanding and treating neurodegenerative disorders, which could influence future research directions at KAUST and in the region.