MaRS Savvy is a medical technology and clinical intelligence initiative focused on mathematical models, anonymization, and structured aggregation of medical data for next-generation clinical workflows and AI-assisted healthcare systems.

The project currently develops three core concepts:

• Fibonacci Health Algorithm – a medical data anonymization and transformation framework designed to convert sensitive clinical information into mathematically structured representations suitable for secure processing and interoperability.

• MaRS Digital Genome – a structured aggregation system capable of compressing and integrating multiple medical parameters into unified informational strings while preserving diagnostic and reverse sense.

• PGD (Postprandial Glycemic Dynamic) – a metabolic mathematical model based on glucose exposure over time (mg/dL × min), designed as a measurable metabolic unit for diabetes, metabolism, and glycemic pattern analysis.

The initiative explores highly compressed, physician-readable, and machine-processable medical representations intended for metabolic assessment, diabetes management, vascular medicine, longitudinal monitoring, AI-assisted interpretation, and future EMR / SNOMED CT interoperability.

MaRS Savvy combines classical clinical reasoning, mathematical abstraction, medical semiology, and computational logic into a unified physician-oriented framework designed to reduce informational fragmentation in medicine.

The long-term objective of the project is the development of explainable and secure medical intelligence architectures capable of augmenting human clinical judgment.