Recent studies in systems vaccinology (Cortese et al., 2025) have identified predictive immunization markers expressed in platelets which can be detected in blood samples. For the first time, a defined genetic signature has been able to anticipate the memory response and antibody durability among different vaccines.
SMRTmeds is translating this discovery into a low-cost detection method that, with the power of machine learning and data training, will accurately predict if the patient would be a high or low responder and suggest personalized booster strategies. A technology integrating multi-vaccine immunization markers to optimize vaccination strategies.
Our technology recognizes biomarkers detectable in blood 7-day post-vaccination, predicting immune memory durability with accuracy.
Integrating biomarkers and biometric data, SMRTvax identifies individuals needing boosters — no guesswork, no waste.
How It Works:
1. Low-Cost Detection:
Biomarker detection on a lateral flow assay 7-days post-vaccination.
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 recently published this year
(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).