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.
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.
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.
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.
KAUST held its first Enrichment in the Spring (SEP) program from March 20–28, focusing on the human brain and mind, coinciding with Brain Awareness Week. The program featured lectures from neuroscientists like Professor Alim-Louis Benabid, and presentations by KAUST's Ali Awami and Corrado Cali on visualization technology for studying the brain. KAUST researchers are collaborating with the Human Brain Project and Harvard University to develop comprehensive brain models and visualize connectome data. Why it matters: This initiative highlights KAUST's commitment to advancing neuroscience research and fostering interdisciplinary collaborations to understand the complexities of the human brain.
KAUST is hosting "Enrichment in the Spring," a program open to the KAUST community, from March 20-28. The program's theme is the brain and human mind, and will include lectures on neuroscience, language, 3D visualizations of the brain, mind games, and musical performances. The event will also feature community events for all ages and interests. Why it matters: Such programs can foster interdisciplinary collaboration and promote public engagement with science and technology within the KAUST community.
A senior lecturer at the University of New South Wales discussed the use of AI to improve early prognosis and personalized treatment plans for neurodegenerative diseases, cardiovascular imaging and multiomics. The lecture highlighted the potential of AI algorithms to detect subtle changes at early stages through advanced multiomics techniques and medical imaging analysis. The speaker has expertise in analyzing medical images and has collaborated with medical professionals to develop AI tools for diagnosis of cancer, neurodegenerative disease, and heart disease. Why it matters: AI-driven prognosis and treatment planning promises earlier intervention and improved outcomes for challenging diseases in the region.
KAUST researchers collaborated with the Blue Brain Project to study astrocytes, brain cells crucial for memory and learning. Dr. Corrado Calì produced 3D models of astrocytes using serial block-face electron microscopy to understand their structure. The study, published in Progress in Neurobiology, reveals how lactate transfer from astrocytes to neurons contributes to brain energy usage. Why it matters: Understanding astrocyte function could lead to new drugs for treating conditions like stroke and Alzheimer's disease by improving brain cell function.