Monoclonal Antibody

Monoclonal antibodies are Y-shaped proteins crucial for targeted therapies and diagnostics, with research intensely focused on improving their design and application. Current efforts leverage machine learning, particularly employing diffusion models, reinforcement learning, and AI-driven image analysis (e.g., for immunohistochemistry), to optimize antibody affinity, predict structure, and accelerate the design process. These advancements are significantly impacting personalized medicine by enabling the creation of more effective and specific antibody-based therapeutics and diagnostics, ultimately improving healthcare outcomes.