Application of Artificial Intelligence in the Genetic Study of Cystic Fibrosis

Abstract

Cystic Fibrosis is a complex genetic condition caused by mutations in the CTFR gene that affects every individual differently. Historically, it was difficult for medical professionals to predict how the disease would progress for any one person due to thousands of possible CTFR mutations. Today, Artificial Intelligence is significantly improving this process. By rapidly analysing large amounts of genetic data, AI helps identify rare mutations and predicts which advanced treatments will be most effective for a specific patient before they begin therapy. Acting as a highly efficient detective, AI examines a patient’s DNA and medical history to develop a personalized roadmap for their care. This approach reduces uncertainty, provides faster access to the correct treatments, and enhances the potential for a longer, healthier life. This paper explores how these tools are evolving Cystic Fibrosis care into a evolutionary practice of medicine.