Based on machine learning, computer vision, and signal processing methodology we designed modules detecting patterns of acute stroke including facial asymmetry, speech changes, and arm weakness.
When it comes to stroke…
Time lost is brain lost
Within < 3 hours
Stroke can be completely reversed if treated within < 3 hours of symptoms
Up to 70% of all
Up to 70% of all stroke patients will achieve full recovery if treated within 2 hours
1/3 Don’t know
27% of patients don’t even know when they are having a stroke
2/3 Can`t call
70% of patients are unable to call EMS because of stroke symptoms
Our technology
has the potential to significantly impact acute stroke treatment rates around the world
FAST AI
We created a multimodal automated acute stroke detection software, incorporating universally accepted F.A.S.T. paradigm
Facial assymetry
Arm weakness
Speech disturbance
Time to call EMS!
Worldwide impact of stroke
№1 cause of disability
Over 80 million stroke survivors living with deficits.
№2 case of death
7 mln per year worldwide, second only to heat attack.
8 out of 10
Stroke patients will have disability.
1 min = 1.9 milion
Brain cells lost.
1 hour = 3.6 years
Premature aging.
1 in 4 adults
Over the age of 25 will have a stroke in their lifetime.
Team
We assembled and highly qualified team of world-experts and thought leaders in cerebrovascular disease based in Los Angeles, and talented IT and ML specialists based in one of the leading IT hubs in EU – Bulgaria. Our unique expertise enables us to be at the forefront of all technological and scientific advances in acute stroke treatment and diagnosis.
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.
Radoslav Raychev, MD, FAHA, FSVIN
CEO and Co-Founder
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.
Todor Todorov
COO and Co-founder
Software architect and project manager with over 15 years of experience in the IT Industry. Technical Advisor and mentor of numerous tech startups. Software Trainer with more than 400 students graduated as job-ready developers. Author of a book about software development.
Krasimir Stoev
CTO
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.
Jeffrey L. Saver, MD, FAHA, FAAN, FANA
Medical Аdvisor
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.
David S Liebeskind, MD, FAAN, FAHA, FANA, FSVIN, FWSO
Medical Аdvisor
Neurologist and neurophysiologist at St Anna University Hospital Sofia and Alexiev and Son Neurology and Neurorehabilitation center. He has vast experience in acute neurology with a focus on stroke and epilepsy. His clinical and research interests encompass various fields of neurology such as sleep disorders, consciousness disorders, multiple sclerosis.
Filip Alexiev, MD, PhD
Clinical Path Advisor
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.
Svetlin Penkov, PhD
ML/AI Advisor
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.
Daniel Angelov, PhD
ML/AI Advisor
Partners
Contact Us
Address
530 South Hewitt Street, Unit #333,
Los Angeles, CA 90013
