AI Technology Benefits In All Aspects Of Drug Discovery

In a recent academic article titled “Artificial Intelligence in Pharmaceutical Sciences,” which was published in the journal Engineering, researchers discuss the advantages of AI technology in all areas of new drug research and development (R&D).

Artificial intelligence can more efficiently and affordably find new medications. Thanks to the massive proliferation of biomedical information, AI has revolutionised drug research and development, from target identification to automated drug production, repercussions on the pharmaceutical business, and preclinical research.

Before summarising and digging into the specifics of their distinctive uses at various stages of drug R&D, the authors of the paper provide a brief introduction to the widely utilised AI models in the field of drug development.

The study comes to the conclusion that AI is useful in every aspect of creating new medications. They can be used in preclinical research, clinical trial design, and post-market surveillance to aid in the development of novel, safe, and effective medications. Drug targets can also be determined using it. With AI, drug R&D cycle times and costs are significantly lowered.

Despite the fact that there are still certain drawbacks in the AI-based drug R&D process, the authors believe that AI is an essential technology in the R&D of pharmaceuticals. AI technology will change the R&D paradigm for pharmaceutical sciences in the future, allowing patients to receive individualised treatment.

The study’s authors advise additional research to keep this topic moving forward and give it new life. The development of AI, a game-changer in drug R&D, is helping researchers unravel the mysteries of huge and intricate biological systems.