A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

Read more about AI-powered peptide discovery could transform fight against drug-resistant superbugs on Devdiscourse ...

Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs. A new approach integrates drone-based ...

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 ...

Explore how proteomics in biomarker discovery accelerates diagnostic assay development and improves clinical validation.

York U led study found clear vaccine-initiated immune response biomarkers between HIV positive and HIV negative groups, but outliers underscore ...

How will the public retain confidence in a system that rests on the painstaking articulation of reasoned logic as more and ...

Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...