THE ROLE OF ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING TECHNOLOGIES IN THE EARLY DIAGNOSIS OF GENETIC DISEASES

Abstract

Genetic diseases are among the most pressing problems of modern medicine, as they have long-term and often irreversible effects on human health [1]. Worldwide, millions of people suffer from various hereditary diseases, and most of them are diagnosed at late stages [2]. This significantly limits treatment opportunities and imposes a substantial economic and social burden on healthcare systems [3]. Therefore, the early detection and prevention of genetic diseases are considered priority directions in modern medicine [4]. Traditional diagnostic methods, including laboratory examinations and genetic screenings, are effective to a certain extent; however, they have limited capabilities in identifying complex and multifactorial genetic alterations [5]. In particular, these methods are not sufficiently efficient in situations where rapid and accurate analysis of large-scale genomic data is required [6]. As a result, diseases are often diagnosed only after clinical symptoms begin to appear [7]. In recent years, the rapid development of digital technologies, especially the emergence of artificial intelligence and quantum computers, has created new opportunities in the field of medicine [8].