Month: November 2025
The Future of Immunogenicity Testing with AI & Machine Learning – Part 1: Intended Immunogenicity
Immunogenicity testing—assessing whether a vaccine antigen or vector will provoke an immune response—has long relied on experimental assays (in vitro T cell and B cell assays, ELISpot, cytokine readouts) and ultimately clinical data. As datasets expand and computational tools advance, **machine learning (ML)** and **artificial intelligence (AI)** are redefining how we predict, optimize, and understand…
Overcoming Matrix Interference in Plate-Based Immunoassays
In bioanalytical testing, few challenges are as persistent as matrix interference — the unwanted influence of sample components on assay performance. For plate-based immunoassays like ELISA and MSD (Meso Scale Discovery) platforms, these interferences can obscure true analyte signals, introduce bias, and compromise reproducibility. Understanding the sources and solutions for matrix effects is essential for…