Development of a personalized digital biomarker of vaccine-associated reactogenicity using wearable sensors and digital twin technology.

ABSTRACT:

Background

Effective response to vaccination requires activation of the innate immune system, triggering the synthesis of inflammatory cytokines. The degree of subjective symptoms related to this, referred to as reactogenicity, may predict their eventual immune response. However, the subjective nature of these symptoms is influenced by the nocebo effect, making it difficult to accurately quantify a person's physiologic response. The use of wearable sensors allows for the identification of objective evidence of physiologic changes a person experiences following vaccination, but as these changes are subtle, they can only be detected when an individual's pre-vaccination normal variability is considered.

Methods

We use a wearable torso sensor patch and a machine learning method

SUBMITTER: Steinhubl SR 

PROVIDER: S-EPMC11994808 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature