Abstract:
Alzheimer’s Disease is often characterized by “fading connections”, both between neurons and between people, resulting in progressive cognitive decline and memory loss. In this presentation, Dr. Hesam Jahanian will share his research at the intersection of artificial intelligence, data science, neuroengineering, and medical imaging, focused on advancing early detection and intervention in Alzheimer’s Disease. Central to his work is the development of accessible, non-invasive biomarkers that utilize innovative deep learning techniques and dynamical system modeling of brain networks for early detection. These advancements aim to bridge the gap between research and clinical application, facilitating earlier and more accurate diagnoses at scale.
Additionally, Dr. Jahanian will present his pioneering work on therapeutic strategies that employ electrical brain stimulation to slow or reverse neurodegeneration in Alzheimer’s Disease. Collectively, these integrated efforts underscore the transformative potential of combining various engineering tools and neuroscience, with significant implications for patient care and the future of Dementia research.
Professional Bio:
Dr. Jahanian is an Assistant Professor of Radiology and holds an adjunct assistant professorship in Bioengineering at the University of Washington. He earned his Ph.D. in Biomedical Engineering from the University of Michigan, Ann Arbor, and further enhanced his expertise through postdoctoral training at Stanford University. Throughout his distinguished career, Dr. Jahanian has received numerous prestigious awards and grants, including the Scientist Development Award from the National Institutes of Health and the Innovation Grant from the Garvey Institute for Brain Health Solutions.
Dr. Jahanian’s research primarily focuses on leveraging his expertise in medical imaging, artificial intelligence, and data science to develop innovative diagnostic methodologies and therapeutic strategies. A significant emphasis of his work is on creating novel image processing techniques aimed at developing accessible early diagnostic tools for Alzheimer’s disease.
