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Scientific & BioAI Infrastructure
RExSyn Nexus-Bio
Chaos Engineering for AI: Validating a Fail-Closed Pipeline with Fake Data and Math
A case study in AI governance showing how synthetic invalid inputs, structural disagreement, SIDRCE ethics checks, and end-to-end reliability scoring triggered a safe BLOCK verdict in a biomedical pipeline.
Evidence-aware scientific systems#AI#AI Governance#AI Alignment#Biomedical#Bioinformatics#Mlops#Deep Learning#Machine Learning#Cognitive Science#AI Research#Scientific Integrity#Architecture#AI Code
Scientific & BioAI Infrastructure
RExSyn Nexus-Bio
From 97% Model Accuracy to 74% Clinical Reliability: Building RSN-NNSL-GATE-001
Learn how RSN-NNSL-GATE-001 turns high model accuracy into system-level clinical reliability by blocking unsafe AI pipeline decisions, measuring end-to-end risk, and enforcing fail-closed governance.
Evidence-aware scientific systems#AI#AI Alignment#AI Governance#Biomedical#Bioinformatics#Mlops#Deep Learning#Machine Learning#Cognitive Science#Scientific Integrity#AI Research#Architecture