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What an AI Reasoning Engine Built for Alzheimer's Metabolic Research: A Code Walkthrough
Scientific & BioAI Infrastructure
RExSyn Nexus-Bio

What an AI Reasoning Engine Built for Alzheimer's Metabolic Research: A Code Walkthrough

A code walkthrough of an AI reasoning engine for Alzheimer’s metabolic research, showing how literature ingestion, causal inference, and executable biomarker scaffolds generate falsifiable pre-validation hypotheses.

Evidence-aware scientific systems#AI#AI Governance#Biomedical#AI Alignment#Bioinformatics#Mlops#Future of Work#AI Code#Architecture#Scientific Integrity#AI Research
Chaos Engineering for AI: Validating a Fail-Closed Pipeline with Fake Data and Math
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
When AI Models Fight, Truth Wins: The “Eureka” Moment for Tired Researchers
Scientific & BioAI Infrastructure

When AI Models Fight, Truth Wins: The “Eureka” Moment for Tired Researchers

To the grad student staring at a pLDDT of 90 and wondering why the ligand won’t bind.

Evidence-aware scientific systems#AI#AGI#AI Ethics#AI Governance#AI Hallucination#Biomedical#SR9/DI2#Mlops#AI Research#Scientific Integrity#Software Development
From 97% Model Accuracy to 74% Clinical Reliability: Building RSN-NNSL-GATE-001
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
When Adding Chai-1 and Boltz-2 Exposed Hidden Model Disagreement(Trinity Protocol Part)
Scientific & BioAI Infrastructure
RExSyn Nexus-Bio

When Adding Chai-1 and Boltz-2 Exposed Hidden Model Disagreement(Trinity Protocol Part)

See how adding Chai-1 and Boltz-2 to an AlphaFold workflow exposed hidden model disagreement, increased drift, and revealed why failed convergence can be the most valuable signal in computational biology.

Evidence-aware scientific systems#AI#Biomedical#Bioinformatics#Mlops#AI Research#Scientific Integrity#Architecture
The Paper That Runs Itself: Why AI-Era Research Must Be Code-Native
Scientific & BioAI Infrastructure

The Paper That Runs Itself: Why AI-Era Research Must Be Code-Native

Literate Programming, DevOps for Research, Research Infrastructure, Continuous Integration, AI Transparency, Scientific Publishing, arXiv Culture

Evidence-aware scientific systems#AI Research#Scientific Integrity

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