Algorithms identify problematic regions in antibodies for non-target molecule binding. Algorithms pinpoint specific positions causing binding issues and propose modifications. Algorithms achieve 78% to 88% accuracy in identifying enhancing modifications. New machine-learning algorithms developed at the University of Michigan offer a promising solution for improving the effectiveness of antibody treatments against diseases like Parkinson’s, Alzheimer’s, and colorectal cancer. These algorithms