The Impact of Artificial Intelligence on Biotechnological Research and Development

Hiroshi Takeda
Kyoto University, Japan

DOI:https://doi.org/10.5912/jcb2521

Abstract:

The realm of biotechnology research and innovation has been uplifted by Artificial Intelligence (AI) technologies, especially with the use of AI in drug discovery, genomics, bioinformatics, precision medicine, and Agri-biotechnology. Researchers can process immense biological databases, speed up the tests of hypotheses, and enhance laboratory workflows through AI algorithms, and this improves the efficiency as well as the budget of scientific endeavors. The AI contribution to drug development increases the efficiency of molecular modeling, helps in predicting the drug-target interactions, and simplifies the clinical trials, thereby speeding up the processes of new drug introduction to the market and reducing the expenses which accompany them. AI fosters genome sequencing and annotation as well as the accuracy of gene-editing in genetics, which is essential for the advancement in genetic engineering and synthetic biology. Bioinformatics integrated with AI makes it easier to compile complex multi-omics data which enhances disease modeling and diagnosis prediction. AI technology has made significant contributions to the field of personalized medicine, providing directions on how to formulate effective drugs with few if any adverse effects for each specific patient. In agricultural biotechnology, AI facilitates the modification of crops genetically, precision farming, and the identification of diseases, thus promoting food security and sustainability. Nonetheless, the implementation of Artificial Intelligence in biotechnology, like any other technology, presents difficulties such as the privacy of data, the presence of biases in algorithms, regulatory requirements, and moral issues.