EIS

Search, identify, analyze ventures in the robotic sector accross EU, NA, ASIA and learn about the community (academia, research labs, startups, large enterprises) involved in the sector

News

Here’s what to make of Amazon’s potential connected health play

Amazon has a secret team called 1492 is exploring opportunities for the company in digital health, according to CNBC. While there’s no evidence that the team is currently exploring connected health devices, it’s possible it could eventually do so.

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NLP Logix working on AI, cloud-based diagnostic technology

Jackson, Florida-based analytics and machine learning company NLP Logix is developing deep learning algorithms targeted at mining the years of diagnostic work done by Mayo Clinic and the healthcare system’s experience in developing and deploying artificial intelligence solutions by NLP Logix.

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Global analytics company PatSnap launches new health platform

Foreseeing exponential growth, PatSnap is developing its machine learning and artificial intelligence capabilities by supporting the growth of the healthcare sectors, providing key services to pharmaceutical and chemical manufacturers. This will move the innovation process from investment to commercialisation.

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Digital healthcare company Signature Medical nabs $2.5 mln Series A

Signature Medical, Inc. (Signature Medical), an Allied Minds (LSE: ALM) portfolio company, today announced that it has completed a $2.5 million Series A funding round, including participation from Riot Ventures, an early stage investment group focused on emerging technologies; Bose Corporation, a global leader in audio innovation; and Allied Minds. Signature Medical is developing AcoustiCare™, its flagship wearable product focused on heart failure evaluation and monitoring to improve patient outcomes while preventing hospital re-admissions. AcoustiCare differs from other typical sensor-based wearables with its proprietary cloud-based audio technology and artificial intelligence enabling remote monitoring and evaluation of heart failure and other indications.

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An ordinary microscope turns into a smart diagnosis device: how Alexapath is democratising healthcare

Alexapath’s hardware consists of the Auto Diagnostic Assistant or ADA, which is a robotic slide holder that can be attached to the stage of any microscope with a universal connector; and the camera to eyepiece adaptor, which connects a CCD (charge coupled device) camera to the eyepiece of a standard microscope. The company’s software consists of two applications—mWSI and mWSI live. In addition, the team is working on an AI (artificial intelligence) diagnostics system called AutoPap.

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PhysIQ Closes $8 Million in Series B Financing

PhysIQ, a leader in developing solutions that leverage artificial intelligence (AI) to empower digital health for ambulatory patient monitoring and clinical trial support, today announced the closure of $8 million Series B financing led by 4490 Ventures. Joining 4490 is the Global Health Sciences (GHS) Fund through Quark Venture Inc. and GF Securities, along with existing investor LionBird and others. Dan Malven, Managing Partner at 4490 Ventures, and Zafrira Avnur, PhD, Chief Scientific Officer at Quark Venture, have also both joined the PhysIQ Board of Directors.

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Convoy Raises $62M From Gates, Y Combinator for Trucking Marketplace

Convoy, a startup trying to modernize the way truck drivers connect with customers, just got a $62 million boost from investors including the Y Combinator Continuity Fund and Microsoft co-founder Bill Gates.

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Crewless electric cargo ships may be on the horizon in Norway

Two Norwegian companies are teaming together to construct a short-range, all-electric coastal container ship that will eventually operate autonomously—eliminating up to 40,000 diesel truck trips per year. The ship, the Yara Birkeland, will begin operations in 2018 with a crew, but it’s expected to operate largely autonomously (and crewless) by 2020 (regulatory clearance permitting, of course).

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Healthtech startup Niramai makes breast cancer screening safe and low-cost

Niramai uses a high-resolution thermal sensing device that scans the chest area like a camera. It then uses cloud-hosted analytics solution for analysing the thermal images. Its SaaS solution uses big data analytics, artificial intelligence and machine learning for reliable, early and accurate breast cancer screening.

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