Our mission is to revolutionize cancer prevention by harnessing the power of AI to deliver personalized, imaging-based risk assessments that enable better outcomes for every patient.
Empowering clinicians and patients with personalized breast cancer risk insights utilizing breakthrough AI imaging technology that supports timely, informed care.
medara™ was founded with seed funding from the Jacobs Technion-Cornell Institute, laying the foundation for its innovative work in AI-powered medical imaging..
An advisory board was established and expert consultants were engaged to support ongoing research and accelerate commercialization efforts.
With support from VentureWell, medara will be attending HLTH USA 2025 to showcase its AI-powered risk prediction technology and connect with leaders in digital health and innovation.
Dr. Kendra Batchelder has a deep passion for advancing women's health, and she leads medara™ in its mission to empower clinicians with tools that enable earlier, more accurate diagnoses, starting with breast cancer. She earned her PhD in Computational Biomedicine in 2023 and brings a strong background in biology, data science, and microbial ecology. Kendra is currently a Runway Startup Postdoc at the Jacobs Technion-Cornell Institute. Her work bridges research and entrepreneurship to deliver clinically validated solutions that improve screening precision and patient outcomes
Dr. David Gruen is a nationally recognized radiologist and healthcare executive with expertise in artificial intelligence and digital health innovation. He previously served as Chief Medical Officer for Imaging at IBM Watson Health and Merative, where he helped advance the use of AI in medical imaging. Based in Connecticut, Dr. Gruen continues to practice clinically while leading initiatives in women's imaging, clinical advocacy, and healthcare innovation.
Mohammad is a senior healthcare executive with over 22 years of experience in healthcare operations, AI deployment, medical imaging, and enterprise strategy. At Kaiser Permanente, he led major initiatives in imaging operations and built scalable AI and analytics infrastructure to improve care delivery. He now advises imaging companies, health systems, startups, and investors on strategy, regulation, and AI adoption to drive clinical impact.
Professor Mert Sabuncu leads the Sabuncu Lab at Cornell Tech and Weill Cornell Medicine Radiology focused on machine learning and medical imaging. He earned his PhD from Princeton and completed postdoctoral training at MIT, with prior faculty roles at Harvard Medical School and Massachusetts General Hospital. He also co-founded The Journal of Machine Learning for Biomedical Imaging and co-directs the Machine Learning in Medicine initiative.