Artificial Intelligence is rapidly transforming therapeutic antibody design, promising to accelerate the transition of drug candidates from the laboratory to clinical trials. However, as these technologies evolve, a critical question remains: How reliable are these models in a real-world biophysical context?
In an upcoming session, Dr. Chungyoun will present findings from the FLAb2 benchmark - the largest public dataset of its kind—to provide a humbling and essential reality check on the current state of AI in biologics.