Last weekend, we helped run Reimagine Health , a hackathon put on by AI Engine with eMed and OpenAI at 1 Triton Square in London, with Eka as one of the supporters. Teams had from Friday evening to Saturday afternoon to build a product which would answer the following: what does the next generation of at-home chronic condition management look like, powered by AI? So here were the Top 3 teams to come out of the weekend! Cadence Health The first place went to Cadence , who looked into Parkinson’s. Care runs on one or two fifteen-minute visits a year and a paper symptom diary that patients with a movement disorder are, understandably, bad at filling in every thirty minutes. Their system watches posture and gait through a webcam, detects falls, and when something looks wrong it starts a spoken conversation to check on pain and mobility. It then compiles thirty days of biomarkers, medication timing, voice quietening, morning gait freezing, into a PDF a neurologist can read in a minute. Credit: AI Engine Credit: AI Engine Forma Second place went to Forma , who developed a tool to help you detect and readjust your posture in front of a screen. Low back pain affected 619m people in 2020 and is the leading cause of disability worldwide, and there is cohort evidence associating heavy workplace sitting with meaningfully higher mortality (association, the authors are careful to note, not causation). The usual advice is “sit less, move more,” which is true and useless. Forma uses the laptop camera to measure your posture against your own baseline, learns when your form tends to slip, and nudges before the point where it usually does. Credit: AI Engine Aura Aura was third place. They presented LifeOS: an AI companion sitting across chronic disease management generally, from adherence to biomarker interpretation to coaching, aiming to turn reactive care into proactive support. This is the widest problem and therefore the hardest to differentiate. “AI health companion” is a crowded description, and the gap between a genuinely useful one and a chatbot bolted to a habit tracker is entirely in the execution you cannot see from a submission. The ambition is the right size. The proof is whether it does one thing measurably better than the app someone already ignores. Credit: AI Engine Broader hackathon reflections The energy during the hackathon was really awesome - it was incredible to see how quickly teams were able to build into the chronic health vision. It has definitely raised my internal bar for what can be achieved in such a short space of time! Credit: AI Engine Thanks for reading Eka Ventures Newsletter! Subscribe for free to receive new posts and support my work.