We require no blood, genetic, or physical tests to assess immune fitness. Our AI model achieves +90% prediction accuracy using existing patient data alone, providing a highly cost-efficient and scalable solution for healthcare settings.
SMRTmeds uses machine learning to predict individual vaccine responses and optimise schedules. Integrated with healthcare records, it provides personalised recommendations and improves population-wide vaccine outcomes as more data becomes available.
How It Works:
1. Electronic Healthcare Record Integration:
Our software integrates digital clinical data such as those present in EHR.
2. AI-Driven Analysis:
Machine learning models trained on multi-vaccine datasets (flu, COVID-19, malaria) optimize booster timing.
3. Prediction of immune durability and booster scheduling:
A platform integrated into your healthcare system that will indicate whether you should take a second dose and, if so, when you should get it.
Scientific Validation
Validated in Stanford’s systems vaccinology study
(Cortese M et al. Nature Immunology, 2025).
Integrated with HIPC Immune Signatures Data Resource for cross-vaccine accuracy
(Diray-Arce J et al. Scientific Data, 2022).