Valuations in the med-tech space lately call into question the old medical adage: “If you hear hoofbeats, think horses.” These days, you would be wise to consider unicorns in the differential diagnosis. Two new companies achieved the formerly rare status just this week. Viz.ai Inc.’s closing today of a $100 million series D financing propelled it into the stratosphere with a $1.2 billion valuation, joining Bostongene LLC which completed its own $150 million round Wednesday.

A 2,000-patient U.K. study has been set up to generate real-world evidence of the value of using AI technology to detect bowel polyps (adenomas) during colonoscopy procedures. The aim is to show whether Medtronic plc’s GI Genius system improves the detection of polyps when deployed in both expert centers and non-specialist units, in the routine diagnostic screening of patients referred from primary care or through the national fecal immunochemical testing program.

With FDA clearance of its Endoscreener that uses artificial intelligence (AI) to detect polyps during coloscopy procedures, Wision AI Ltd. is expanding its product portfolio to include colorectal histopathology tools.

Biobeat Technologies Ltd. reported its remote patient monitoring system received FDA clearance to monitor respiratory rate and body temperature. The wireless chest and wrist monitoring device is already cleared for cuffless blood pressure monitoring, blood oxygen saturation and pulse rate. The artificial intelligence platform utilizes a photoplethysmography-based sensor at the surface of the skin that measures volumetric variations of blood circulation.

Much of the question of FDA regulation of artificial intelligence (AI) and machine learning (ML) is seen as revolving around changes to the statute, but that does not mean the FDA and other agencies are in wait-and-see mode. Representatives of both the FDA and Health Canada said on a March 22 webinar that guidances related to these algorithms will be posted later this year, thus opening the door to a more predictable premarket path for these products.

Resapp Health Ltd. saw its stock shoot up 35% on the heels of positive clinical results for its new smartphone-based COVID-19 screening test. In a pilot clinical trial of 741 patients recruited in the U.S. and India, digital health company Resapp’s screening test, which uses machine learning to analyze the sound of a patient’s cough, correctly detected COVID-19 in 92% of people with the infection.

Oculogica Inc. has signed an agreement with Minnetronix Inc. to launch a diagnostic device that tracks eye movements to detect possible brain concussion, this after receiving FDA clearance in December for its fourth iteration of the artificial intelligence-driven, battery-operated Eyebox.

Experts at the Paris Cardiovascular Research Center (PARCC) have designed an artificial intelligence-based system to predict kidney allograft survival. This model was validated in an observational multicohort study in Europe, the U.S. and South America, as well as randomized trials and results were published in The Lancet Digital Health.

Cvaid Medical Ltd. secured $4 million in a series A financing to further develop its mobile stroke diagnostic, monitoring and treatment platform. The Israeli Rad Biomed investment fund led the round with participation from Philips Ventures and Sanara Capital. As part of the financing, a representative from Philips will join the board. The smartphone-based system, Cvaid uses artificial intelligence to process and analyze video and voice recordings to identify and assess the severity of patients experiencing stroke, also called cerebrovascular accidents.

PARIS – Ziwig SAS has developed the Endotest saliva test, for quickly detecting endometriosis. François Golfier, head of the gynecology-obstetrics department at Angers University Hospital and chairman of the endometriosis committee for the National College of French Gynecologists and Obstetricians, claims this new generation of in vitro diagnostic medical devices is going to be a game-changer “as it finally allows this chronic debilitating disease to be detected sooner and within the space of just a few days.”