Three ways machine-learning and AI are integrating into gene therapy developments

This feature will explore three current integrations of machine learning and artificial intelligence (AI), including algorithms that predict changes in proteins that may trigger potential immune responses, technologies that enhance mutagenesis methods, and models that streamline research. Regenerative medicine is advancing rapidly, unlocking new possibilities through both simple and advanced approaches – from hydrogels that promote wound healing to CRISPR technology, which is revolutionizing gene therapy for rare conditions with unmet medical needs. By deepening our understanding of physiological and pathological processes, we continue to shape how we leverage these insights to tackle difficult-to-treat conditions. As our knowledge grows, so...