Study Demonstrates that AI Technology is Better Predictor of Stroke than Traditional Methods, Elucid Bio Announces

The study, led by Dr. Brajesh Lal, Director of both the University of Maryland’s Center for Vascular Diagnostics and the NIH Vascular Imaging Core Facility, with participation by the Cleveland Clinic, Weill-Cornell, and Case Western, sought to improve prediction of Major Adverse Neurological Events (MANE; stroke, transient ischemic attack, and amaurosis fugax) by applying AI to traditional carotid imaging using the Elucid Bio vascuCAP software.

Stroke remains the leading cause of disability in the United States and is the 5^th leading cause of death. Current risk assessment for patients with carotid atherosclerosis relies primarily on assessing the degree of stenosis. More reliable risk stratification has the potential to improve patient selection for more aggressive treatment for MANE by incorporating a combination of carotid plaque geometry, plaque tissue composition, patient demographics and clinical insights.

“These study results demonstrate that the vascuCAP’s artificial intelligence algorithms for risk stratification in carotid atherosclerosis are a better predictor of stroke than stenosis assessment alone,” stated Dr. Lal. “Implementing this predictive model on asymptomatic patients in the clinical setting could help identify and inform treatment for those at high-risk for future major adverse neurological events.”

“The results of the CRISP trial provide further validation of the potential impact of our vascuCAP software to improve risk assessment for stroke,” commented Blake Richards, CEO of Elucid Bio. “These data should foster confidence to increase clinical adoption of vascuCAP.”

The Elucid Bio technology is currently in clinical use and may have applications for informing risk for COVID-19 patients who have been experiencing strokes at a significantly higher rate. The software can identify endothelial damage, a subtle, but potentially deadly effect of COVID-19 that can cause blood clotting that leads to stroke.

About vascuCAP

The vascuCAP software analyzes routinely-available CT angiograms to characterize plaque tissues in a manner that could previously only be done with a tissue specimen. Its algorithms are validated by expert pathologists using a biobank of tissue specimens as an objective truth standard. As a result, vascuCAP is the only method to use specific tissues in its AI models. The analysis is performed on-site in minutes, delivering information that enables physicians to make more informed and objective decisions about which patients would be most likely to benefit from procedural intervention.

About Elucid Bioimaging, Inc.

Elucid Bio is a Boston-based medical technology company using AI to provide physicians with a cost-effective means to optimize treatment decisions for patients with known or suspected cardiovascular disease. The company’s vascuCAP® software is the first tool to quantify atherosclerotic plaque against histology, deliver key arterial measures, and provide 3D visualization to inform risk of event: stroke or heart attack. vascuCAP’s unique information informs better treatment decisions by physicians, leading to better patient outcomes at a reduced cost of care. vascuCAP is available for commercial use in the U.S. and Europe.