
Frontier AI for Global Health Security
27 production-ready models across 5 tiers — disease forecasting, risk assessment, health systems analytics, and more via API
Click any model to view detailed specifications, performance metrics, and run predictions

Predict malaria case counts using climate, intervention coverage, and historical epidemiological data

Predict tuberculosis new cases using HIV co-infection, socioeconomic factors, and healthcare access

Early warning system for dengue outbreaks using climate signals and urbanization patterns

Risk tier classification and case estimation using WASH, flood risk, and climate indicators

Forecast influenza positivity and seasonal patterns using climate and FluNet surveillance data

Quantify climate-disease relationships across 274 ERA5 variables and multiple disease streams

Detect anomalous disease patterns across multiple infectious disease streams simultaneously

Forecast antimicrobial resistance rates using consumption, infrastructure, and governance indicators

Predict under-five mortality rate using immunization, nutrition, WASH, and socioeconomic indicators

Neonatal mortality risk scoring with skilled birth attendance and antenatal care indicators

Predict gaps in DTP3, MCV1, and BCG immunization coverage across countries

Forecast maternal mortality ratio using birth attendance, antenatal care, and health expenditure

Optimize vaccination campaign timing and coverage targets using ML and operations research

Composite child health scoring combining mortality, nutrition, immunization, and WASH indicators

Predict Universal Health Coverage index trajectories using multi-dimensional health system data

Forecast required health workers per capita using population growth and disease burden projections

Score country digital health readiness aligned with the Exemplars maturity framework

Composite health system resilience scoring using Bayesian networks and principal components

Predict pharmaceutical patent grant probability across 22 IPC therapeutic categories

Identify emerging therapeutic areas using topic modeling and patent trend decomposition

Score treatment accessibility gaps using patent landscape, health expenditure, and disease burden

Classify countries by health maturity stage aligned with the Exemplars/Global Fund framework

Forecast SDG 3 health sub-target trajectories using cross-domain ensemble from 7,859 variables