Technical Insights Session 5: SPOC: Generating high fidelity SPR data at scale in a matter of weeks for AI fine-tuning and reinforced learning

SPR wet lab workflows are currently costly and not efficient when large affinity datasets are required for AI model fine-tuning, training, or validation. This results in use of lower resolution BLI or qualitative pull-down library-based assays for affinity data for AI training. This presentation will demonstrate how SPOC technology can be used to synthesize, purify, and obtain true kinetic data (on-rate, off-rate, affinity, and residence time) for thousands of antibody or protein variants against multiple targets in a matter of weeks – generating tens of thousands of datapoints for integration into AI models.