News

Wearables news in brief: WHOOP raises $575 million, Feminai breast screening pilot, Eight Sleep generates sleep predictions

For our latest news in brief we focus on wearable technology, exploring funding news and emerging use cases across the health sector.

Clair Health raises $11.6 million in seed funding for continuous hormone monitoring

Clair Health has raised $11.6 million in seed funding to build wearable tech offering non-invasive continuous hormone monitoring, looking to enable preventative care by enabling women to anticipate changes earlier.

According to the website, the company aims to fill an identified gap for a wearable platform purpose-built to capture physiological changes associated with hormones. A variety of sensors capture more than 130 “mechanistic biomarkers” across domains including cardiovascular, thermoregulatory, autonomic, and respiratory, Clair reports.

More than 25,000 women are already on the waiting list, a LinkedIn post reveals.

WHOOP raises $575 million and announces ability to connect medical records 

“Human performance” company WHOOP has successfully raised $575 million in Series G funding to accelerate its global expansion. It reports having reached more than 2.5 million global members, and hiring for 600 new roles to support research development and international footprint.

Founder and CEO Will Ahmed took to LinkedIn to announce that US residents will now be able to link their medical records through a new partnership with HealthEx, offering the chance to combine clinical history with biometric data to gain more personalised health insights.

iRhythm Technologies International launches Zio Service integrating cardiac monitoring, EHR integration, patient support app

iRhythm Technologies has launched Zio Service, a “complete ecosystem” for cardiac monitoring comprising its Zio monitor, a patient support app, clinical access, EHR integration, and reporting functionality.

Taking to LinkedIn, the company set out ambitions to make monitoring comfortable for patients, simplify workflows for clinicians, and offer data to support diagnostic decisions, adding: “This is what a complete ambulatory cardiac monitoring solution looks like.”

Meta’s Brain2Qwerty v2 offers real-time sentence decoding from non-invasive brain recordings 

Meta’s Brain2Qwerty v2 is helping those suffering from brain lesions to communicate using real-time sentence decoding from non-invasive brain recordings.

Trained on 22,000 sentences from nine volunteers, recorded over a period of ten hours wearing a magnetoencephalography device whilst actively typing, the solution reportedly utilises end-to-end deep learning to decode directly from brain signals.

Findings showed an average word accuracy of 61 percent, rising to 78 percent for the “top-performing” participant. Meta is now releasing the full training code for Brain2Qwerty v1 and v2 to help accelerate neuroscience breakthroughs.

Feminai announces breast screening pilot with Maccabi Healthcare Services 

Feminai uses wearable sensors collecting data for AI-powered analysis, aiming to detect changes in breast tissue density and blood flow. According to the company’s website, a clinical trial at Sheba Medical Center demonstrated 96 percent sensitivity and 98 percent negative predictive value.

Now, the company is conducting a clinical pilot with Maccabi Healthcare Services, meaning women attending breast cancer screenings at Maccabi’s mobile mammography units will be able to use its breast assessment kits. It hopes this will aid in evaluating how the tech can be integrated into real-world screening workflows.

Autopilot 4.0 sleep agent from Eight Sleep uses data to generate sleep predictions

Eight Sleep’s Autopilot 4.0 sleep agent has been launched, utilising data from activity during the day and night to make predictions on sleep and adjustments to the sleep environment.

Users can link their Apple Health or Health Connect apps to feed-in insights from things like meals, workouts, and activity, helping the agent to accurately predict what the night’s sleep will look like, and adjusting for things like alcohol intake or late meal times.

According to the company’s LinkedIn, Autopilot 4.0 is built using more than one billion hours worth of sleep data, and is now available in the Eight Sleep app.