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Friday, 19.04.2024, 19:41
Transformative AI from Estonia raises EUR 1.5 mln
The round includes funding from the Wellcome Trust, which provided Transformative AI a Healthcare Innovator Award, and from InHealth Ventures, which had previously invested in Transformative's pre-seed round. Investors Andrus Oks of Tera Ventures and Nick Slater of AI Seed are joining Transformative's board.
Transformative AI says it has developed a disruptive technology capable of predicting sudden cardiac arrest minutes to hours in advance, and with 94 percent accuracy.
Transformative's first patented technology predicts sudden cardiac arrest by analyzing data from patient monitoring devices that are standard in hospitals. Transformative AI will use its seed funding to obtain FDA clearance for its first product and to begin developing technologies that predict other life-threatening conditions, according to Josh Oppenheimer, the company's co-founder and CEO and a practicing emergency medicine physician.
Jack Lewin, the chairman of the National Coalition on Health Care, the former CEO of the American College of Cardiology, and an advisor to Transformative AI, noted that many patients who survive in-hospital cardiac arrest suffer serious cognitive deficits due to delayed care.
"Transformative will soon help physicians and hospitals save many thousands of lives each year," Lewin said.
Transformative AI, founded in 2017 by Oppenheimer and Estonians Marek Sirendi and Marek Rei, is working closely with several medical centers around the world, including the North Estonia Medical Center in Tallinn, to gather and analyze patient data.
Its team includes data scientists, cardiologists amd medical researchers. The startup has applied for several patents, the first of which has been issued already.
Marek Sirendi received his doctorate in physics from Cambridge University and he has previously worked as a researcher at CERN, the European Organization for Nuclear Research, in Switzerland.
Marek Rei also holds a doctorate from Cambridge and is currently a lecturer at Imperial College. He has previously worked at Swiftkey as developer of predictive models of deep learning.
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