Study found clear vaccine-initiated immune response biomarkers between HIV positive and HIV negative groups, but outliers underscore varied, intricate nature of the immune system.
How people with compromised immune systems respond to vaccines is an important area of immunological research. A new study led by York University found that not only could machine-learning models accurately pinpoint differences in healthy controls and those living with HIV, but also found outliers in both groups that provide fascinating glimpses into the complex nature of the immune system and what personalized medicine could look like in the future, accounting for variables such as age, comorbidities and genetics.
Source : York University
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