AI RESEARCH
An Energy-Efficient Spiking Neural Network Architecture for Predictive Insulin Delivery
arXiv CS.LG
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ArXi:2603.27589v1 Announce Type: new Diabetes mellitus affects over 537M adults worldwide. Insulin-dependent patients require continuous glucose monitoring and precise dose calculation while operating under strict power budgets on wearable devices. This paper presents PDDS - an in-silico, software-complete research prototype of an event-driven computational pipeline for predictive insulin dose calculation.