Jamie Dimon, welcome to Chicago.

"AI is disrupting the job-application market much faster than the job market" continues to gather evidence - AI-amplified job applications - AI-enabled filters, and other AI tools, used by HR depts to narrow the application pool - interviews with AI avatars - and now, "10-minute conversations with AI [that] take place in McKinsey’s very real offices, with partners or interview assessors in the room observing how the candidates do"

Today, we’re introducing Nefesh by @electrokare - a foundation model for human physiology. The human body produces an extraordinary amount of information. Our ability to understand it, and use it to help, has barely caught up. We started Electrokare to change that. Our first window into the body is the ECG. A few seconds of electrical activity, collected every day in clinics, hospitals, and wearables around the world. We believe it can tell physicians far more about a patient than it does today. Nefesh is our foundation for that work: learning from the underlying signal to answer a growing range of questions about cardiac function, structure, and the physiology beyond them. For a physician, the promise is concrete. Recognizing disease earlier. Knowing which patient needs a closer look. Getting more information from a test already in your hands. For us, this is the beginning of a much larger undertaking. We want to bring multiple signals and modalities together into a model of how the human body works, one that can help medicine move from treating disease after it declares itself to understanding what is changing, and acting earlier. Today, we’re sharing the first chapter. Introducing Nefesh, by Electrokare. Live across multiple clinical sites, and tens of thousands of patients. Making physiology computable. If you’re a physician or healthcare leader who wants to help build this future, I’d love to hear from you.