Our smartphones go everywhere we go. To a certain extent, so do our smartwatches, fitness trackers, wireless health monitors, and wallet locators. But for the most part, they don’t talk to each other. A Fitbit can’t tap health information from a Wi-Fi glucose monitor. A Bluetooth locator can’t use your phone’s geographic location. And a pedometer certainly isn’t aware of the direction, duration, and length of a jog, much less the time of day.
Gilad Meiri sees that as untapped potential.
Meiri is the CEO and founder of Neura AI, an artificial intelligence startup that develops some of the most advanced machine-learning algorithms. With enough data, Neura’s software can learn an incredible amount of information about your routine. It knows what time you’re likely to fall asleep on a particular weekday. It can tell if you’re at the office, your neighborhood gym, or a friend’s house. And it can even tell when you’ve missed a workout.
Meiri got the idea for Nuera when co-founder and Chief Technology Officer Triinu Magi fell sick for five months. After countless inconclusive MRI scans and doctor visits, she turned to data for answers. Magi, a data scientist by trade, recorded biometrics like heart rate, blood pressure, blood oxygen, and glucose, and correlated the data with a food diary. A pattern soon emerged: Dramatic spikes and dips in blood sugar after sugary snacks. Magi had a rare form of diabetes.
That data-driven work was the cornerstone for Neura. The algorithms, as Meiri described them to Digital Trends, tap every available source of information in a continuous search for trends, patterns, and correlations. They’re able to interpret data from more than 55 Internet of Things devices, including wearables like the Apple Watch and smartwatches running Google’s Android Wear operating system. They remember recent Wi-Fi hot spots, the locations you’ve been, upcoming appointments and meetings, and the friends and family you contact most often.
It’s all viewable in Neura’s mobile dashboard app. Meiri showed his personal account to Digital Trends, and the sheer volume of data sources was staggering: Neura was collecting information from 54 apps. “It probably knows me better than anyone else,” he said.
Neura is focusing on telemedicine. Earlier this year, it launched a medical adherence library designed to streamline the AI algorithms’ integration with medical and health apps. It includes a number of prebuilt features designed to “increase user engagement,” Meiri said, and “eliminate the need for app developers to write code … enabling them to complete integration in two hours or less.”
One of the most impressive implementations yet is a Neura-powered smart glucometer for diabetics. Thanks to Neura’s algorithmic insights, it “knows” that a particular patient should check her glucose levels before working out, and similarly “knows” when he or she arrives at the gym — prompting the glucometer to recommend action precisely at the critical moment.
Medisafe leverages Neura’s AI service to send pill reminders based on when a user wakes up and is predicted to go to sleep, which Meiri notes is a chronic problem. According to the Centers for Disease Control and Prevention, nearly 50 percent of Americans take prescription medications for one or more chronic illnesses like cardiovascular disease, diabetes, and asthma. An estimated three out of four fail to take their medications as directed.
In many cases, Neura has made a measurable difference in getting users to take direction. It’s driven an 88 percent increase in medical adherence, a 20 percent rise in user engagement, and a 31 percent boost in retention for wellness tracking.
“It thinks like a human,” Meiri said. “It’s not dependent on Google feeds.”
But it raises privacy concerns. Neura is collecting hundreds of data points every day and feeding that information to third-party apps and services, which subsequently use them for other purposes.
Meiri noted that Neura requires users to approve each data point individually — they have to review and give permission for each one. And he pointed out that Neura’s transparency sets it apart from most data-collecting services on the market. Ad networks like AOL, he said, aren’t always transparent about the information they’re collecting and using.
Ultimately, the privacy comfort level will depend on the person. But given the data, Neura’s already proven it can be a force for good.
Are you tired of paying for streaming services you never watch just to get a phone plan feature you actually want? T-Mobile has good news for you! The carrier is rolling out new plans, called T-Mix, in early November to replace its old Experience lineup with a build-your-own perks system called Picks.
The benefits you choose vary from streaming and gaming to food delivery, AI, satellite service, and phone discounts. But if you are satisfied with your existing plan, you can keep it.
Merely days after the iPhone Duo hit the shelves, images of broken screens on the phone started popping up across social media. Until now, it’s been unclear what’s causing the line of defective pixels that appears vertically along the crease, as well as horizontally, on the phone’s inner display.
Apple has finally acknowledged the issue, which has shown up on iPhone Duo units owned by customers as well as demo units in stores. In a statement shared with Bloomberg, Apple says that not all iPhone Duo units are affected and that those that are tend to show the display fault early on. The company added that users who experience problems with their iPhone Duo display should contact AppleCare for a replacement.
Not long ago, Apple treated independent repair like an act of outright hostility. The Cupertino giant locked down parts with serial-number pairing, while repair tools remained firmly out of reach of anyone outside its authorized repair network. More importantly, the company waged a legal and lobbying battle against right-to-repair legislation.
I've covered enough of these fights over the years to know what a shift looks like. That's why what happened in October 2026 genuinely caught me off guard. The day the iPhone Duo went on sale, what may be the most mechanically complex iPhone to date, Apple pulled off a surprising about-face. It published teardown-style repair manuals for a handful of major components.