MBZUAI researchers presented DEFUSE-MS at MICCAI 2025, a novel AI system for analyzing changes in MRI scans of multiple sclerosis (MS) patients. DEFUSE-MS uses a deformation field-guided spatiotemporal graph-based framework to identify new lesions by reasoning about how the brain has changed. The model constructs graphs of small regions within baseline and follow-up MRIs, linking them across time with edges enriched with learned embeddings of the deformation field. Why it matters: DEFUSE-MS reframes the task from simple "spot the difference" to understanding structural changes, potentially improving the speed and accuracy of MS diagnosis and treatment monitoring.
Margaret Livingstone, a neurobiology professor at Harvard Medical School, lectured at KAUST's Winter Enrichment Program 2018 on how art can reveal insights into the human brain. She discussed how artists have long understood the independent roles of color and luminance in visual perception. Livingstone highlighted examples from Picasso, Monet, and Warhol to illustrate how artists manipulate visual cues. Why it matters: This interdisciplinary approach can potentially lead to new understandings of how the brain processes visual information and inform advances in both neuroscience and art.
MBZUAI researchers led by Dr. Mohammad Yaqub are developing AI algorithms for real-time medical diagnoses, including tools for multiple sclerosis and congenital heart disease. The team developed ScanNav, an AI fetal anomaly assessment system licensed by GE Healthcare for Voluson SWIFT ultrasound machines. ScanNav assists doctors during anomaly scans after 20 weeks of gestation to check for conditions like heart issues and spina bifida. Why it matters: This research has the potential to significantly improve the speed and accuracy of medical diagnoses in the UAE and beyond, addressing critical gaps in healthcare.
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.
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 professor Pierre Magistretti has been elected to the Norwegian Academy of Science and Letters. His election recognizes his contributions to neuroscience, specifically his work on lactate's role in brain function. Magistretti's research focuses on the lactate shuttle system and how neurons and glial cells cooperate to meet energy demands. Why it matters: This honor highlights KAUST's contribution to international neuroscience and can foster further collaboration in the field.
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 Professor Matteo Parsani will undertake a 30-day, 3000km hand bike journey across Saudi Arabia starting December 17. The journey aims to promote physical activity, raise disability awareness, showcase KAUST research, and highlight Saudi's beauty. KAUST researchers developed biosensor-embedded gear to monitor Parsani's health metrics like heart rate, dopamine levels, and sweat rate during the journey. Why it matters: The initiative demonstrates KAUST's commitment to assistive technology research and promoting inclusivity in Saudi society through adaptive sports.