AI-Powered Menopause Apps

This App Uses Powerful Algorithms & Sensors to Provide Relief to Women

Lisa Health, a company that specializes in femtech and aging-related solutions, launched an innovative menopause app that uses an array of modern technologies such as AI and digital therapeutics to help women navigate menopause.

Created as part of a partnership with the Mayo Clinic, the 'Midday' menopause app uses AI algorithms and sensors to monitor women's menopause and offer personalized help based on each individual's symptoms and situation. The app also leverages Mayo Clinic's algorithms to provide insights into hormonal therapies, and makes it easy for users to schedule virtual appointments with Mayo Clinic specialists.

What's more, women can also pair their Fitbit to the 'Midday' menopause app to access expanded insights pertinent to their menopause journey. The app is also set to be able to utilize wearable technology to provide rapidly reactive support - for example, by delivering relief when hot flashes are detected.

Image Credit: Lisa Health

AI-powered Menopause Apps
AI algorithms and sensors are being utilized in modern menopause apps to provide personalized help and expand user insights.
Digital Therapeutics for Menopause
Digital therapeutics are being utilized to help women navigate menopause and offer relief through innovative solutions.
Virtual Menopause Care
The availability of virtual appointment scheduling and wearable technology support pave the way for virtual menopause care.

Industries Being Reshaped

Femtech
There is a growing demand for femtech solutions that offer aging-related support and menopause relief.
Digital Health
Digital health companies are utilizing AI and digital therapeutics to provide innovative solutions for menopausal women.
Wearable Technology
The use of wearable technology opens new opportunities for rapidly reactive support during menopause.
SCORE
6.8 out of 10
GENDER
10% Men90% Women
MARKETTop markets: North America, South America, Europe, Asia, Africa
GENERATION
  • Gen Z
  • Gen Alpha
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 96%
Activity 93%
Freshness 15%