AI Epidemiologist
Interpreting disease, data, and intelligence.
Independent analysis of how artificial intelligence is reshaping disease surveillance, outbreak detection, and public health decision-making.
Intelligence Briefing
Periodic dispatches on AI applications in epidemiology, biosecurity, and global health. No hype. No vendor influence.
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Areas of Focus
- Outbreak Detection Early warning systems, syndromic surveillance, anomaly detection
- Disease Forecasting Predictive models, uncertainty quantification, forecast evaluation
- Genomic Epidemiology Phylogenetics, variant tracking, sequencing pipelines
- Biosecurity Dual-use research, pandemic preparedness, health security policy
- AI Evaluation Model validation, clinical translation, deployment failures
Editorial Independence. AI Epidemiologist is not affiliated with any vendor, institution, or government agency. Analysis is evidence-based and free from commercial influence.