Using AI for glucose monitoring: a review of January AI

The startup has received funding from Felicis Ventures, HAND Capital, and Marc Benioff.The health-and-fitness-startup industry isthanks in part to the exploding popularity of consumer devices that can track steps, fitness, sleep, menstrual cycles, and more.

"I wanted to have a fuller picture of one's health, more than just what a doctor will tell you because as we wait, the choices for treatment are fewer and further between," she said."Powerful monitors can improve peoples' health. Healthcare today is focused on illness, not health, so we're trying to focus on that."

I tried out January's platform for more than a month, which included five days of AI training while wearing the CGM followed by weeks of machine-learning-generated data about my food and movement habits. Spoiler alert: The startup provided me with helpful health recommendations that I'll be incorporating into my everyday life, and it helped me identify and manage hypoglycemia.

"This is a combination of pulling in new tech and using everything to your advantage," he said."Through monitoring, we can push diabetes off for a number of years, and those numbers are getting worse as people live longer. We're trying to avoid people heading in that direction."Despite Insider's reporter's slight fear of needles, she found that the CGM was painless to apply and that January AI's instructions were easy to follow.

I'm a runner and wear a Coros Pace 2, so the January team provided me with a Fitbit Inspire for the review. This step is especially important to remember after eating so the app can begin to identify how different foods affect your blood-sugar levels in real time. When logging my food, January provided me with predictions for how certain foods, such as a bag of pretzels, might spike my blood sugar more than others, such as a serving of green beans. These estimations are AI-generated and come from the data the CGM collected while I was wearing it and tracking my food during the training period.

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