AI predicts vaccine response based on pre-existing antibody patterns
Researchers found preexisting antibody patterns in 4,089 participants could help identify people likely to have weak COVID-19 vaccine responses.
5 Articles
5 Articles
AI predicts vaccine response based on pre-existing antibody patterns
Vaccines protect most people from serious illness, but the strength of that protection can vary considerably from one person to another. A new study led by Arizona State University helps us understand why.
Why immune responses to vaccines vary from person to person
Vaccines protect most people from serious illness, but the strength of that protection can vary considerably from one person to another. A new study led by Arizona State University helps us understand why.
AI Identifies Pre-existing Antimicrobial Antibody Profile That May Predict Immune Response to Vaccination
Researchers analyzing antibody profiles in thousands of individuals have discovered that pre-existing antibodies to common microbes can predict the strength of new vaccine responses. The Arizona State University (ASU) team measured antibodies against 185 antigens—including those from common viruses, bacteria, and targets associated with autoimmune diseases—in blood samples from 4,000 immunosuppressed and healthy individuals. The researchers then…
A new study led by Arizona State University (U.S.A.) has identified biomarkers that, analyzed using artificial intelligence, could allow predicting which people will best respond to a vaccine even before they receive it.
Coverage Details
Bias Distribution
- 100% of the sources are Center
Factuality
To view factuality data please Upgrade to Premium
