Bioinformatics is a rapidly growing discipline at the interface of biology, computer science, and mathematics. Recent scientific and technological advances in biological and biomedical sciences have led to a rapid increase in data generation. The analysis and interpretation of such data requires powerful computational tools and specialists with deep expertise in various fields, including molecular biology, genetics, programming, and mathematics. Currently, machine learning and deep learning methods are being rapidly integrated into various fields of biology and medicine, significantly transforming bioinformatic solutions and marking the advent of a new era in bioinformatics. The development of new algorithms and efficient data analysis methods using artificial intelligence forms the foundation for the future growth of this field. In this context, the demand for specialists capable of bridging the gap between biological and mathematical disciplines continues to grow, necessitating the adaptation of educational programs. This article reviews recent trends in bioinformatics, including the development of multi-omics approaches and the use of artificial intelligence, and highlights the importance of multidisciplinary education with advanced training in mathematics and statistics to prepare a new generation of scientists capable of driving innovation in this dynamic field.