Yong Chen

This paper introduces an mRNA-LNP method to assess immune effector cell-mediated cytotoxicity, showing it is rapid, consistent, and compatible with diverse tumor models.

This study identifies risk factors and patterns of immune-related adverse events (irAEs) in patients receiving immune checkpoint inhibitors using real-world data.

The paper introduces MIXER, a framework that combines multiple metrics for feature selection and predictive modeling, outperforming individual criteria in Alzheimer's disease analysis.

This paper introduces polygenic risk vectors (PRV) to improve genetic risk stratification for cardio-metabolic diseases by combining additive and dominant genetic effects, outperforming traditional polygenic risk scores.

This paper introduces distributed ComBat to harmonize neuroimaging data across institutions while preserving privacy, achieving results equivalent to centralized methods.

The paper introduces ODAC, a privacy-preserving distributed algorithm for multi-center Cox proportional hazard models, showing it matches pooled estimates and outperforms meta-analysis for rare events.

This study evaluates how phenotyping errors affect polygenic risk score (PRS) accuracy using eMERGE data, showing accuracy degradation depends on phenotype and error mechanism.