Circadian AI: When Teen Genius Meets Clinical-Grade Innovation

Imagine a teenager hacking away in his bedroom, not on the latest video game mod, but on an app that can spot early heart failure in seven seconds flat. That’s precisely what 14-year-old Siddharth Nandyala from Frisco, Texas, pulled off with his creation, Circadian AI. This isn’t science fiction; it’s a clinical-grade diagnostic tool built on a smartphone and cloud-based machine learning, tested on nearly 18,500 patients across two continents. It’s proof that fresh perspectives, unencumbered by the notion of “because that’s how we’ve always done it,” can shake up the staid world of medical diagnostics.

A Heartbeat Away from a Breakthrough

Heart disease remains the leading global killer, responsible for roughly 32% of deaths worldwide. Standard screening tools, such as EKGs, echocardiograms, and stress tests, are invaluable but expensive, require specialized equipment, and often occur only after symptoms have emerged. Early-stage heart abnormalities can be silent, slipping past routine checkups until it’s almost too late. Enter Circadian AI: Siddharth’s smartphone app that listens to your chest for seven seconds, filters out ambient noise, and sends the recording to a cloud-based model. It returns a rapid readout flagging arrhythmias, valve issues, and early heart-failure indicators with over 96% accuracy (nypost.com, economictimes.indiatimes.com).

From STEM Kits to Stethoscopes: Siddharth’s Journey