The digital phenotype of vaccination - Nature Biotechnology

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The digital phenotype of vaccination - Nature Biotechnology
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The digital phenotype of vaccination

in their study of over 1,000 individuals with wearable data from a smart ring and with post-vaccination SARS-CoV-2 receptor-binding domain antibody levels. They identified a significant and direct correlation between the change in several physiological parameters and immunogenicity, with the strongest independent predictor being temperature deviation.

Beyond the potential association between physiological changes and immunogenicity, objective evidence of the real-world behavioral impact of vaccines can aid in the design of safer, better-tolerated vaccines. The limitations of capturing this information using only subjective surveys is highlighted in an analysis of reported adverse events in the placebo-controlled COVID-19 vaccine trials that found that >50% of the systemic adverse events reported could be attributed to a nocebo response.

Although we find these early data encouraging, there still is a good deal to learn before wearables can become a standard part of vaccine development and treatment. For one, the current data are based on surprisingly sparse individual data — typically just one data point a day per parameter. Ongoing studies using medical grade wearable sensors with continuous high-fidelity data capture surrounding vaccination will help clarify the value of much deeper data .

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