Pasadena, CA, United States of America

Shant Malkasian

USPTO Granted Patents = 8 

Average Co-Inventor Count = 5.5

ph-index = 3

Forward Citations = 39(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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8 patents (USPTO):Explore Patents

Title: Innovator Spotlight: Shant Malkasian

Introduction: Shant Malkasian is a prominent inventor based in Pasadena, California, known for his significant contributions to the field of medical imaging. With a total of five patents to his name, he is committed to advancing technologies that improve patient diagnosis and care.

Latest Patents: Malkasian’s latest patents focus on systems, methods, and devices for medical image analysis. These innovative solutions aim at enhancing diagnosis, risk stratification, decision-making, and disease tracking within non-invasive medical imaging. The technology is designed to identify critical features such as plaque and vessels and derive various quantified parameters like radiodensity and geometry. Furthermore, it aims to facilitate comprehensive cardiovascular risk assessments and contribute to drug development initiatives.

Career Highlights: As an inventor, Malkasian has dedicated his career to developing cutting-edge medical technologies. His work at Cleerly, Inc. highlights his commitment to leveraging imaging systems for a deeper understanding of heart disease and atherosclerosis. His contributions not only advance medical innovation but also significantly benefit patient care in cardiology.

Collaborations: Malkasian works alongside accomplished professionals such as James P. Earls and Hugo Miguel Rodrigues Marques, collaborating to push the boundaries of medical imaging technology. Together, they enhance research and development initiatives that are vital for improving diagnostic capabilities.

Conclusion: Shant Malkasian's innovative work in medical image analysis underscores his role as a significant contributor to the field of healthcare technology. His patents serve as a testament to his expertise and commitment to transforming patient diagnosis and treatment.

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