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AI Tackles Costly 'Late-Stage Rework' in Antibody Drug Development

Creative Biolabs uses AI to predict immunogenicity & optimize antibodies, tackling costly 'late-stage rework' in drug development for faster, safer therapeutics.

This news matters because it addresses a fundamental bottleneck in bringing new, life-saving treatments to patients faster and more affordably. Antibody drugs are crucial for treating cancer, autoimmune disorders, and infectious diseases, but the traditional development process is notoriously slow and expensive, often derailed by unforeseen safety issues late in the game. By using AI to predict and mitigate immunogenicity risks early—a major cause of clinical trial failures—companies like Creative Biolabs are working to reduce development timelines and costs. This acceleration directly impacts patients awaiting new therapies and can lower overall healthcare costs. Furthermore, by making the R&D process more efficient and predictive, AI-driven approaches increase the likelihood that promising drug candidates will successfully navigate clinical trials and reach the market, potentially expanding treatment options for millions of people worldwide.