Diagnostic Proteomics: A New Approach

• Focusing on the Tumor Microenvironment (TME) to Enhance Detection and Diagnosis
• Using Math and Physics to Suppress Proteomic Noise

Introduction
This paper discusses a methodology which focuses on the Tumor Microenvironment as a vehicle for improved cancer detection and diagnosis and uses math- and physics-based noise suppression methods to improve the accuracy of human biological testing as measured by predictive power.