Seeing What's Hidden: Cross-Domain Estimation of the Global T2 Inflammation Patient Population

The global Type 2 inflammation patient population is among the most consequential and poorly estimated in life sciences — not for lack of evidence, but for lack of structural framing. CCG diagnosed why existing estimates fail, developed a tiered definitional framework to resolve the boundary problem, and applied five methodological approaches drawn from ecology, epidemiology, and actuarial science to produce credible regional estimates where direct data is sparse. The result demonstrates what becomes visible when a clinical problem is approached as a structural inference challenge.