Beyond the ER: Using AI to Predict Heart Failure Years in Advance

What if a patch the size of a Band-Aid could predict heart failure months — or even years — before you end up in the emergency room? In this episode of the Learn Grow Deploy Show, I sit down with Sandeep Gulati, CEO of Peerbridge Health, to trace one of the most remarkable careers in AI — from building neural networks at NASA's Jet Propulsion Laboratory in the late 80s, to training U.S. Army commanders with combat simulation systems, to now using a 20-gram wearable ECG patch to monitor the human heart with clinical-grade precision. Sandeep doesn't just talk about AI's potential. He's been building it for 40 years. In this episode, we unpack: The 10,000x Perceptual Shift — Why today's AI is fundamentally different from the rule-based systems of the past, and why that gap is only widening. The Peerbridge ECG Patch — How a tiny 20-gram wearable delivers 6-lead clinical-grade heart data, enabling doctors to detect and predict cardiac events long before a crisis hits. AI as a Force Multiplier — Why generative AI amplifies human capability by 10 to 50x, and what that means for engineers, clinicians, and students entering the field right now. The Edge vs. Cloud Reality — Why real medical innovation requires computing at the device, in the network, and in the cloud together — and why leaning on any one layer alone falls short. Quantum + AI — How a new class of quantum-inspired algorithms allows machines to hold dozens of competing hypotheses simultaneously, making them far better at reasoning under uncertainty. Whether you're an engineer, a healthcare professional, or a student trying to figure out where AI is actually headed, Sandeep's four-decade arc gives you a rare, grounded roadmap for the next decade of innovation.