PARIS – Researchers at the Institute for Surface Technologies and Photonics in Weiz, Austria, and the Institute of Scientific and Industrial Research Osaka University, Japan, have invented new ultra-flexible health monitoring patches that use harvested bio-mechanical energy. “These new devices represent a wireless e-health patch for accurate pulse and blood pressure monitoring,” Andreas Petritz, from the Institute for Surface Technologies and Photonics (the materials research unit of Joanneum Research FmbH), told BioWorld.
China’s Personal Information Protection Law (PIPL) will take effect on Nov. 1, 2021, making it harder for tech firms, including health care companies, to access and use consumers’ personal information. The PIPL was officially passed by the National People’s Congress on Aug. 20.
There are few guidelines of any sort that are specific to artificial intelligence (AI) for medical devices, but that doesn’t mean there are no signposts for developers. There are existing product marketing authorizations that offer some insights, but the FDA’s Bakul Patel said a risk stratification guidance by the International Medical Device Regulators Forum (IMDF) is an example of a non-AI blueprint for how the FDA will ultimately approach regulation of AI.
LONDON – Health data specialist Sensyne Health plc is opening up broader access to its U.S./U.K. patient information system with the launch of a subscription service giving accredited users the ability to interrogate more than 2 million longitudinal electronic health records. At an annual cost of £25,000 (US$34,602) per head, the company will provide “industrial scale” access to anonymized hospital records “to the smallest company or to a single researcher working in academe,” through the new Sensight service, said Paul Drayson, CEO.
The Tokyo University of Science (TUS) has developed a self-powered diaper biosensor that can monitor urine sugar levels, which could be a boon for both diabetic patients and their caregivers. Caregivers at nursing homes currently open patients’ diapers every few hours to check for urination, thus increasing the caregivers’ workload. The psychological impact on the patient is also increased, for example when their sleep is disturbed.
The U.S. National Institutes of Health announced the development of a cane for those suffering from blindness or visual impairments, a device equipped with a computer processor.
China’s Personal Information Protection Law (PIPL) will take effect on Nov. 1, 2021, making it harder for tech firms, including health care companies, to access and use consumers’ personal information. The PIPL was officially passed by the National People’s Congress on Aug. 20.
Stryker Corp. has made its second acquisition of the year, picking up Gauss Surgical Inc. – the developer of an artificial intelligence (AI) platform for real-time monitoring of blood loss during surgery. Financial terms of the deal were not disclosed. Kalamazoo, Mich.-based Stryker’s shares (NASDAQ:SYK) were trading 5% higher following the acquisition. Menlo Park, Calif.-based Gauss Surgical’s Triton AI technology aims to fill a void in maternal health by enabling early detection of hemorrhage.
Centaur Diagnostics Inc. herded up interest in its gamified system for labeling medical data for use in artificial intelligence (AI) applications. The Boston-based company raised $12 million in a series A round that will help Centaur build out its crowdsourced system for labeling medical images, videos, text and audio recordings. The round brings the company’s funds raised to date to $15 million. Matrix Partners led the charge along with Accel Partners, Global Founders Capital, Susa Ventures, and Y Combinator.
The question of whether an artificial intelligence (AI) algorithm can be an inventor has been making the rounds in the past couple of years, and the question came up again in the U.S. District Court for the Eastern District of Virginia. Stephen Thaler, who developed the Device for the Autonomous Bootstrapping of Unified Sentience (DABUS) algorithm that has been credited with two inventions, failed to persuade the court that an algorithm qualifies as an “individual,” and thus patents must still be assigned to humans, at least where the U.S. Patent and Trademark Office is concerned.