The Cedars-Sinai Accelerator offers a mentorship-driven Program to support early-stage companies in developing solutions to improve healthcare and healthcare delivery. Companies accepted into the Program spend three months working closely with mentors from Cedars-Sinai and beyond to accelerate the development, growth, and traction of their products and companies.

2:30pm - 4:00pm with reception to follow.

Join us for the Cedars-Sinai Accelerator Class 9 Demo Day showcasing 10 leading health-tech startups. 

52North: 52North offers a medical device that can be used by patients outside of the hospital to monitor their risk of neutropenic sepsis, a life-threatening complication of chemotherapy. 

Acorai: Acorai provides a device for heart failure management through noninvasive intracardiac pressure monitoring to help reduce hospitalizations and readmissions. 

Alva Health: Alva Health offers a wearable monitoring device designed for early stroke detection.  

CARI Health: CARI Health develops a remote medication monitor to enable personalized dosing and real-time medication adherence monitoring. 

equalityMD: equalityMD is a community-centric platform for LGBTQ+ patients to share and connect with others. 

Machine Medicine: Machine Medicine provides a platform that helps researchers capture and assess motor functioning in patients with neuromodulation devices. 

Paperplane Therapeutics: Paperplane Therapeutics designs therapeutic virtual reality video games aimed at improving pain and anxiety management in children undergoing various medical treatments or procedures. 

Predicta Med: Predicta Med develops a solution for early detection and treatment selection for undiagnosed autoimmune diseases. 

RCE.ai: RCE.ai offers a noninvasive device that monitors cardiac proteins in the blood, empowering emergency medicine physicians and cardiologists in the early assessment of patients presenting with chest pain. 

TestDynamics: TestDynamics develops a platform that offers hospitals and physicians one-stop, intelligent access to a wide range of AI models for medical imaging.