Yono Labs designed a high-tech, in-ear, temperature-tracking device that monitors a women's basal body temperature. The basal body temperature will indicate when a woman is most fertile. The device is called the 'Fertility Friend' and measures the body's core temperature, which reveals the most accurate way to determine female fertility rates.
This app-connected wearable continuously monitors the user's temperature through the wearable thermometer that is placed inside their ear. This high-tech device from Yono Labs works best in the morning after being worn during a full night's sleep. When used regularly, the wearable device will convey information to the data-tracking app. Over the course of a month, there is enough data to present when the user is most fertile.
The Fertility Friend is an extremely helpful app that can aid couples who are trying conceive, without seeking potentially expensive professional help.
In-Ear Fertility Trackers
This Thermometer-Based Wearable from Yono Labs Tracks Female Fertility
Trend Themes
1. In-ear Wearable Thermometers - There is potential for the development of wearable technology that could measure body temperature for other health purposes like fever tracking and detecting circadian rhythm disruptions.
2. Data-tracking Apps for Health Monitoring - Developing apps that collect personal health data could be useful for health monitoring and identifying personalized treatments for various illnesses.
3. Fertility Wearables - Wearable devices like the Fertility Friend could be used to track fertility and offer hope of pregnancy to couples trying to conceive without seeking professional help.
Industry Implications
1. Wearable Technology - There is an opportunity to develop more in-ear wearable technology for health monitoring beyond fertility tracking.
2. Fertility Clinics - Fertility clinics could leverage the use of wearable technology like the Fertility Friend to augment existing treatments and improve success rates.
3. Healthcare Apps - Companies could develop more apps that collect and analyze personal health data to offer personalized treatments for various health issues beyond fertility.