Omid Cameron Farokhzad

This study evaluates how chromatographic sampling affects quantification and biological discovery in DIA proteomics, finding that statistical power and LOQ are more critical than identifications.

Radiant DIA is a fast and cost-effective search engine for proteomics that maintains accuracy and sensitivity, enabling efficient analysis of large-scale datasets.

This paper demonstrates that nanoparticle-based proteomics workflows enable accurate and scalable deep plasma proteomics with high precision and statistical power for biomarker discovery.