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 ...

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 ...

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

Summary: Workplace attrition threatens operational continuity and clinical trial timelines for life science professionals. The recent shift to remote and decentralized trials presents unique ...

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 ...

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

A mass of writhing maggots on a decomposing murder victim is not a sight for the squeamish, but for some, it is evidence. A maggot’s age and species can give essential information to forensic ...