CurieDx develops artificial intelligence-driven tools designed to analyze medical images and improve diagnoses. The company’s tools utilize smartphone images, deep learning artificial intelligence, and telehealth integration to diagnose common childhood illnesses from homes and other remote settings.

CurieDx is developing an AI home strep test as its first product.

The research that fuels CurieDx was jointly developed at Johns Hopkins University by a physician, engineer, and computer scientist team that was tired of scrambling to see a clinician every time their kids were sick. Together, they combined their expertise using AI and medical imaging to bring a suite of medical tests to customers’ fingertips.

Affiliated University: Johns Hopkins University;  I-Corps Team: EL, Golnoosh Camali, Ph.D., Electrical and Computer Engineering, Johns Hopkins University; PI & TL, Therese Canares, Adjunct Assistant Professor, Pediatrics, Johns Hopkins University; IM, Christina DeMur, Director, Technology Development, Johns Hopkins Technology Ventures;  I-Corps Cohorts: JHU regional, 1/27/2022; I-Corps National Teams, 2022;  Funding: $2M