viernes, 8 de diciembre de 2023

Data-driven discovery of innate immunomodulators via machine learning-guided high throughput screening† Machine learning + high-throughput screening was used to find small molecules with big impacts on the innate immune system when used as vaccine adjuvants, reports a new article in Chemical Science. In the NIAID-funded study, researchers at the University of Chicago developed a screening pipeline aided by a novel artificial intelligence tool for the rapid discovery of immune modulators and built a library of small molecules that can tune innate immune pathways. The authors say this work could be used to rapidly reveal novel ways to improve vaccination and immune treatments.

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