The Role of Artificial Intelligence in Accelerating Biotechnology Product Development

John W. Spencer
Universidad Nacional Autónoma de México, Mexico

Abstract:

In biotechnology, artificial intelligence (AI) is revolutionizing the industry through the acceleration of product development from data driven insights, automation and predictive modeling. AI empowered algorithms for drug discovery helps compound libraries to screen fast, predict molecular interactions, optimize clinical trials and save tremendous amounts of times and costs. AI heightens CRISPR precision, locates editing targets and mitigates off-target effects in genetic engineering. In the quick response to COVID-19, AI also has a role in the development of vaccine by analyzing viral mutations and selection of antigens. On top of that, AI driven personalized medicine bases treatment on genomic data and therefore, increases patient outcome. AI aids biomanufacturing in speeding up production, quality control, and lab automation. However, similar to a biotech startup, AI in biotechnology has its share of ethical concerns, data privacy as well as regulatory compliance issues. To facilitate the responsible integration of AI in biotechnology, these issues will need to be addressed. With AI becoming more mature, this will fuel the innovation in healthcare, pharmaceuticals, as well a synthetic biology and will allow a higher global health outcomes and will provide another direction in the future of biotechnology.