This review provides an overview of various AI-based approaches utilized in pharmaceutical technology, highlighting their benefits and drawbacks. Nevertheless, the continued investment in and exploration of AI in the pharmaceutical industry offer exciting prospects for enhancing drug development processes and patient care.
The transformative opportunity in drug discovery mentioned in the article is the use of AI to accelerate drug discovery and development. AI, through advanced algorithms and machine learning, allows researchers to analyze extensive biological data, including genomics and proteomics, to identify disease-associated targets and predict interactions with potential drug candidates. This results in a more efficient and targeted approach to drug discovery, increasing the likelihood of successful drug approvals. The ability of AI to optimize research and development processes, assist in experimental design, and predict the pharmacokinetics and toxicity of drug candidates further contributes to reducing development costs and streamlining the drug development pipeline. Overall, the transformative impact of AI on drug discovery is emphasized as a key and powerful application within the pharmaceutical industry.
