Innovation

The Science Behind SMRTvax

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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.

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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).

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