AI Takes Up the Dual Role of Predicting and Relieving Hot Flashes

Scientists at the Institute for Applied Life Sciences (IALS) at the University of Massachusetts Amherst, in partnership with Embr Labs, have devised a machine-learning algorithm capable of forecasting a hot flash before it is felt by the individual. When integrated with Embr Labs' patented wearable device, Embr Wave™, this innovation delivers prompt cooling to alleviate or entirely eliminate the occurrence. This predictive algorithm is the outcome of employing machine learning on the most extensive collection of digital biomarkers for hot flashes ever assembled, a dataset compiled by researchers at UMass Amherst's Center for Human Health and Performance.

Matt Smith, co-founder and CTO of Embr Labs highlights that "Hot flashes affect 75% of women and can persist for up to a decade." He expresses pride in developing effective tools for menopause, an area that has lacked innovative solutions for an extended period. By providing automatic cooling for relief from hot flashes, they are achieving a milestone in natural hot flash management.

An Approach to Combat Hot Flashes Without Pharmaceuticals

In contrast to prior efforts to combat hot flashes, this approach does not involve pharmaceuticals. The current iteration of the Embr Wave is worn on the inside of the wrist and can be activated to warm or cool with a simple touch, prompting a physiological response in the brain and body that aids in mitigating hot flashes, enhancing sleep, and reducing stress. The forthcoming generation of Embr Wave will feature this new predictive sensor technology.

AI Heralds a New Era in Hot Flash Management

Matt Smith emphasizes that "Seeking immediate cooling relief is a person’s natural reaction when they are having a hot flash." He asserts that they now possess the expertise and technology to modernize this solution: personalized and automatic hot flash management through a compact, AI-driven wearable device.

Mike Busa, director of the IALS Center for Human Health and Performance, underscores that this technology sets itself apart from most other wearable health technologies. He describes it as a "reactive digital drug" for alleviating hot flash symptoms, noting that it intervenes in real-time, targeting early physiological changes preceding the individual's awareness of an impending hot flash.

The process unfolds in real-time, with data swiftly transmitted between the device and servers, enabled by the combination of data processing and cloud computing, along with the rapid cooling capabilities facilitated by Embr Labs' thermal technology.

"As AI predicts and soothes hot flashes, we're rewriting the future of menopause."

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Source-Medindia