GE Healthcare has announced the graduation of its second batch of start ups who were part of Cohort 2 of ‘India Edison^TM Accelerator - Startups powered by GE Healthcare’. Edison^TM Accelerator is GE Healthcare’s collaboration program with startups, mentoring this ecosystem towards comprehensive digital solutions relevant to healthcare providers to strengthen or develop new applications, services, and AI algorithms.

The Demo Day featured six impressive health tech startups, each solving some of the most critical healthcare challenges in the field of Oncology, Neurology, Drug-Resistant Tuberculosis, Covid-19 etc. The startups – AarogyaAI, BrainSightAI, FluidAI, InMed Prognostics, Onward Assist, Wellthy Therapeutics showcased their clinical solution, business model, market opportunity and projections to a virtual audience comprising of startups, investors, VC’s, clinicians, healthcare players and other corporates.

Cohort 2 startups came on board in September 2020 after an extensive evaluation process. From the 150 plus startups who had applied, 25 were shortlisted and finally, six startups were invited to Cohort 2.

Throughout the program, GE Healthcare worked with the startups to refine their solutions, got feedback from its customers to iteratively improve the functionality of the solutions, provided commercial and regulatory guidance, mentorship and skill development programs. The startups were also provided with a cash-in-grant of $10000.

Shravan Subramanyam, Managing Director, Wipro GE Healthcare, South Asia said, “Their game-changing solutions are complementary to our offerings and address significant healthcare challenges that exist today. We are looking to offer our customers those choices and intend to partner with start-ups of Cohort 2 on relevant engagement models including taking these solutions to the market and offer them an opportunity to build scale.”

India Edison^TM Accelerator has now opened registrations for its third cohort, looking for solutions in the following focus areas: Imaging and Advanced visualization, Virtual Hospitals and Remote Patient Monitoring, AI for Oncology and Cardiology, Clinical and Operational Efficiency and Data Management.