✳flâneur — a map of the web's best reading

Hot Flashes Can Be Reliably Predicted by an AI-driven Algorithm Developed by UMass Amherst and Embr Labs : UMass Amherst

umass.edu · 1,120 words · saved by 1 readers

University of Massachusetts Amherst researchers and scientists at Embr Labs, a Boston-based start-up, have developed an AI-driven algorithm that can accurately predict nearly 70% of hot flashes before they’re perceived. The work, featured in the journal Psychophysiology, will be incorporated into the Embr Wave, a wearable wrist device clinically proven to manage hot flashes. In the U.S. alone, an estimated 1.3 million women transition into menopause annually, and 80% of women experience hot flashes — sudden feelings of intense heat, often radiating in the upper body. Most hot flashes occur during this transition, but half of women experience them for 7 years or more. The physiological response had, for decades, been considered more of a nuisance than a treatable condition by medical professionals. However, recent research has linked hot flash severity and related sleep disturbances to risk of cardiovascular disease. “Hot flashes have been dramatically overlooked,” says Matt Smith, co-f

Hot Flashes Can Be Reliably Predicted by an AI-driven Algorithm Developed by UMass Amherst and Embr Labs : UMass Amherst Skip to main content Research Hot Flashes Can Be Reliably Predicted by an AI-driven Algorithm Developed by UMass Amherst and Embr Labs The algorithm will be incorporated into the next generation of Embr Labs’ wearable device to mitigate symptoms and provide meaningful relief September 17, 2025 Contact Julia Westbrook Share This Image The Embr Wave 2 University of Massachusetts Amherst researchers and scientists at Embr Labs, a Boston-based start-up, have developed an AI-driv

Explore this link on the map →

related reading