The longevity platform is integrating nationwide blood work to move beyond simple death predictions
Death Clock—the app known for its mortality-prediction algorithms—has begun rolling out Life Lab, an AI-powered health concierge that advances the platform into more proactive preventative care.
By integrating with over 4,800 clinical labs—including Labcorp and Quest—Life Lab allows users to track deep biomarkers such as ApoB and HbA1c, generating a longevity roadmap that updates in real time.
The service begins with a 29-question assessment. Afterward, the AI (which the company says is trained on over 1,200 longevity studies) predicts a user’s current death date and a “potential” death date that can be achieved through optimization.
For a subscription fee starting at $99, users can also upload existing medical records or order new blood work directly through the app.
(Image credit: Death Clock)
The resulting ‘Longevity Report’ provides evidence-based guidance on medications, supplements, and behavioral changes, specifically designed to bridge the 15-year life expectancy gap between the ultra-wealthy and the general population.
Advertisement
The Wareable take: Bridging the gap between sensors and science
For the wearables industry, the launch of Life Lab is another indicator of where the health dashboard is heading—and a trend that really caught fire following Whoop’s rollout of Healthspan (and Advanced Labs) last May.
Until now, most consumer wearables have operated in a vacuum, providing data on heart rate, sleep, and steps without the clinical context of what is happening inside the user’s blood. And while the devices themselves have always provided excellent standalone insights into health, they still can’t directly assess metabolic health or cardiovascular risk.
Instead, Life Lab effectively acts as the missing link for these sensors. By syncing with data from your wrist and overlaying it with clinical biomarkers, it turns a passive wearable into an active medical tool.
Again, this reflects a broader trend we’re seeing in the industry. And as more platforms like Death Clock make high-end preventative metrics accessible, the pressure is on hardware manufacturers to ensure their sensors are accurate enough to be part of these clinical conversations.
