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Sibel Health received an investment of 33 million dollars

The company was founded in 2018 as part of the Querrey Simpson Bioelectronics Institute and the John Rogers Research Group at Northwestern University. It develops software for wearable sensors, AI-powered data analytics, and remote patient monitoring.

Remote patient monitoring initiative Sibel Health received an investment of $33 million led by the Steele Foundation for Hope . The total investment amount of the US-based company has exceeded 35 million dollars. Sibel Health’s newcomer investment will be used to develop the remote patient platform ANNE One.

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The company was founded in 2018 as part of the Querrey Simpson Bioelectronics Institute and the John Rogers Research Group at Northwestern University. The company, which also received investment from the Bill & Melinda Gates Foundation, has offices in San Diego and Seoul. It develops software for wearable sensors, AI-powered data analytics, and remote patient monitoring. The name of the company comes from Kybele, which symbolizes fertility and abundance in Turkish mythology. 

Last June, remote health monitoring platform Sesame Care announced it had received $27 million in investment . The investment tour of 27 million dollars was carried out under the leadership of GV. Virgin Group, TeleSoft Partners, FMZ Ventures, General Catalyst, Industry Ventures, Giant Ventures and Alumni Ventures Group participated in the investment round. It was announced that the new investment will be used to improve the company’s business processes. 

The US-based company is positioned as a marketplace that brings doctors and patients together on the same platform. Founded in 2020, the company helps users find the most suitable doctor to answer their problem in more than 40 categories. It allows them to make doctor appointments.

In addition, today, Biofourmis, an artificial intelligence supported remote patient monitoring initiative, received an investment of 20 million dollars . The goal of the Singapore-based company is to use artificial intelligence to monitor patients remotely and detect diseases early. On the one hand, to produce long-term solutions for chronic diseases.

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