Tel Aviv-based startup Scopio Labs Ltd. has received U.S. FDA 510(k) clearance for its artificial intelligence (AI) powered cell morphology platform, X100HT. The laboratory device is designed to locate and display images of white cells, red cells and platelets acquired from fixed and stained peripheral blood smears. Analysis of the images is then provided using AI technology.
Stratipath AB gained CE-IVD mark for its artificial intelligence (AI)-based software for prognostic risk stratification of breast cancers, clearing the path for introduction of the solution in the EU. Stratipath Breast analyzes digital histopathology whole slide images generated from surgically resected breast cancer tissue to identify patients with increased risk of disease progression. The system provides clearer guidance on the best treatment path for the 50% of women whose breast cancer is categorized as intermediate risk.
Medi-Globe GmbH, in conjunction with the Institut Hospitalo-Universitaire (IHU) in Strasbourg, France, is developing new artificial intelligence (AI) software for the detection of pancreatic disease. The Rohrdorf Germany-based company just completed a first-in-human trial of this AI tool during an endoscopic ultrasound examination performed at the Institute of Image-Guided Surgery at IHU.
Retispec Inc. and the Toronto Memory Program launched a community screening program for Alzheimer’s disease (AD) funded by the Davos Alzheimer’s Collaborative (DAC). The program will provide two points of entry for screening—optometry clinics and the Alzheimer Society of Toronto. The project is one of 12 early detection efforts worldwide that received a total of $4.5 million in funding this week from DAC.
The French and German governments have just announced a major project to develop a digital platform for the early detection of new respiratory pathogen epidemics, and then monitor their spread and inform decisions on appropriate counter measures. The COVID-19 crisis has confirmed the need for a resilient multi-stakeholder surveillance and control system to manage current and future epidemics or pandemics.
Regulatory harmonization is seen as vital to the development of markets for artificial intelligence (AI) and machine learning (ML), but there is some variation in the terminology used to describe these algorithms. The International Medical Device Regulators Forum (IMDRF) has posted a document that includes some definitions for ML terms such as unsupervised machine learning, a key development if regulations across the globe are to avoid a hopeless state of balkanization.
Wysa Ltd.’s artificial intelligence-based digital therapy received FDA breakthrough device designation for adults with chronic musculoskeletal pain, depression and anxiety. The device delivers cognitive behavioral therapy (CBT) via a digital companion or conversational agent on a smartphone.
In the post COVID world, digital transformation is at the forefront of every company’s agenda, but which innovations can fuel the next era of health care? At the ongoing Biomed Israel conference in Tel Aviv, Anat Naschitz founder and CEO of 9xchange and co-founder of Orbimed Israel, lead a digital health track exploring the technologies aiming to reconstruct the future of health care.
Cybersecurity remains a pressing issue for medical technology, in part because there are new, small companies jumping into this space seemingly every day. However, there is a shortage of talent in cybersecurity, something that Dan Lyon, director of cybersecurity at Boston Scientific Corp., of Marlborough, Mass., said will not ease soon due to a lack of interest among colleges and universities in providing curriculum and degrees in this area.
With cancer treatment success rates rising, the field of precision oncology is poised to grow as clinicians aim to move treatment from a one size fits all approach to personalized treatment regimens. Israeli startups including Oncohost Ltd., Nucleai Ltd. and Gina Life Diagnostics Ltd. are part of an emerging wave of companies utilizing artificial intelligence (AI) and machine learning (ML) techniques to personalize the future of cancer diagnostics.
