Methods Mol Biol. 2025;2952:283-295. doi: 10.1007/978-1-0716-4690-8_17.
ABSTRACT
The synergistic integration of Artificial Intelligence (AI) techniques with bioinformatics, statistics, and biotechnology has ushered in a transformative era in the realms of cell and genetic engineering. This convergence represents a powerful alliance, combining the computational prowess of AI with the wealth of biological information harnessed through bioinformatics and statistical methodologies. The collaborative impact of these disciplines has redefined our approach to understanding, manipulating, and optimizing complex biological systems. By leveraging advanced algorithms, machine learning models, and data analytics, researchers can navigate the intricate molecular landscapes with unprecedented precision. This chapter aims to dissect the multifaceted applications of AI within cell and genetic engineering, shedding light on its role in enhancing precision, efficiency, and innovation. The intricate dance between AI and biological data comes to life, showcasing how algorithms unravel genomic intricacies or predict protein structures. Formulas, grounded in statistical methodologies, underline the quantitative rigor AI brings to these fields. Accompanied by images, this exploration seeks to elucidate the tangible impact of AI on the biological sciences, offering readers a visual journey into the world where computational intelligence meets the intricacies of life at the molecular level.
PMID:40553340 | DOI:10.1007/978-1-0716-4690-8_17
