All our efforts are focused on developing smart, accurate, and most importantly timely technology for early stroke detection. The goal is to shorten the time between stroke occurrence and medical intervention.
By attracting a team of top AI and IT experts to train the algorithm, and world-recognized vascular neurologists to serve as medical advisors, Neuronics Medical is now on its way to building the world’s most comprehensive model for automated acute stroke symptoms detection.
CEO & Co-Founder
COO & Co-Founder
Chief Medical Officer
Chief Technology Officer
ML/AI advisor
ML/AI advisor
Medical Advisor
Medical Advisor
We are looking to onboard more partners on our life-saving journey. From health tech visionaries, pharma or insurance companies, to neurologists and AI experts – everyone is welcome to support our efforts to reduce the physical, psychological and financial burden of belated stroke detection.
Vascular and Interventional Neurologist, Neurointerventional Surgeon and keen researcher in the stroke field. His vision is to have an impact on cerebrovascular disease directly at the bedside with his clinical skills and on a larger scale through research, teaching, and innovative technologies.
Serial entrepreneur with multidisciplinary profile of managing startups in verticals ranging from foodtech to digital health. Multiple years of experience as operational head of IT development company tasked with projects from shaping MVPs to bringing large-scale digital products to market
Graduating from the University of Arizona College of Medicine where she earned her MD degree, Dr. Nour also earned a PhD in neuroscience from the University of Oklahoma Center for Neurosciences. Dually trained at the University of California, Los Angeles (UCLA) as a vascular and interventional neurologist, Dr. Nour helped found the Arline & Henry Gluck Mobile Stroke Rescue Program as its medical director. Under her care, California’s first Mobile Stroke Unit (MSU) began clinical operations in 2017 and continues to operate in Los Angeles County. She has helped advise the startup of multiple national MSUs and has extensive experience in establishment of MSUs and their integration into clinical practice, prehospital medicine and emergency medical systems of care. As the PI, Co-PI and Investigator of multiple clinical trials in the fields of vascular neurology and neurointervention, Dr. Nour has extensive experience in clinical trial design, assessment and outcome analysis. She lends her vast experience and expertise, fueled by her passion to transforming the landscape of neurological care.
Experienced and accomplished software engineer with over 20 years of proven success in the industry. Highly skilled in various aspects of software development with expertise in coding across multiple programming languages, requirements analysis and specification, dev-ops, UX design, and agile methodologies.
Reseacher and entrepreneur with extensive experience in tools for testing and debugging machine learning code that speed up development, save hours of fighting elusive bugs and provide deep theoretical insights. Together with Daniel Angelov, he developed a successful platform for testing ML models.
Experienced researcher in AI and robotics field with background in developing ML for medical applications. Together with Dr. Penkov, he works on methods for extracting structured mechanisms and representations from raw data resulting in explainable and robust models.
SA Vice-Chair and Professor of Neurology at UCLA, and Director of the UCLA Comprehensive Stroke and Vascular Neurology Program. Author of over 670 research articles, 3 books, and 40 book chapters, Dr. Saver’s research interests are in acute stroke treatment, stroke prevention, neuroimaging, clinical trial design, and neurocognitive consequences of stroke.
Professor of Neurology at the University of California, Los Angeles (UCLA) where he is Director of the UCLA Stroke Center. He is Director of the Neurovascular Imaging Research Core, leading global efforts to advance data science and precision medicine of stroke imaging for prevention, acute therapies and recovery after stroke.