What if the most important moment in a patient’s health journey occurs years before diagnosis?

Chronic lifestyle-related diseases, including cardiovascular disease, Type 2 diabetes, and metabolic syndrome, account for over 74% of global deaths and are projected to generate a macroeconomic burden of multiple trillions of US dollars in lost output and health expenditures over the coming decades (World Health Organization, 2025; Ferranna et al., 2023).Yet the majority of these conditions are preventable when risk is identified early. LIFESTREAM AI is a research-grade digital health platform designed to address a critical gap in preventive medicine: continuous, clinically integrated, and explainable individual-level risk intelligence. A provisional patent application (No. 63/998,499) was filed with the United States Patent and Trademark Office (USPTO) on March 6, 2026, covering the below platform's core innovations.

Three innovations underpin this work: a four-tier blockchain-enforced consent architecture granting patients granular control over their health data; a carbon-aware federated learning scheduler that defers model training to periods of lower grid carbon intensity with modelling-based estimates suggesting potential emission reductions of 70–75% compared with a fixed-schedule baseline (conceptual projection, not yet empirically validated). An Explainable AI (XAI) clinical alert prioritisation system using SHapley Additive Explanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME) to rank alerts by clinical actionability rather than raw probability, directly addressing clinician alert fatigue.

The platform is designed in compliance with HIPAA, GDPR, and the EU Artificial Intelligence Act (EU AI Act), reflecting a commitment to ethical, transparent, and equitable AI in healthcare