The Role of Artificial Intelligence in Drug: A Review Article

Author Name: Aryandeep Singh1, Shanu1. Kumar Singh1, 2. Shameekh Shaik Basha1, 3. Aashish Yadav1, 4. Yuvraj1, 5. Devendra Burdak1, 6. Manoj Sharma2, 7. Surendra Singh Gurjar2

Volume: 01/06

Country: Kazakhstan

DOI NO.: DOI Link:

Affiliation:

1. General Medicine Students [Group; 3015], Karaganda Medical University, Kazakhstan.
2. Associate Professor, Karaganda Medical University, Karaganda, Kazakhstan

ABSTRACT

The use of artificial intelligence in drug discovery and development is transforming the pharmaceutical industry by addressing several long-standing challenges, such as high research costs, long development timelines, and high failure rates in clinical trials. Traditional drug development typically requires more than 10 years and billions of dollars, with a low probability of success. However, artificial intelligence offers innovative solutions to accelerate the entire process. By leveraging machine learning, natural language processing, deep learning, and other computational approaches, artificial intelligence facilitates the discovery of drug targets, optimizes molecular design, enhances preclinical testing, and streamlines clinical trials.. Artificial intelligence also enhances preclinical testing by predicting pharmacokinetics, pharmacodynamics, and toxicity profiles of drug candidates before they enter animal or human trials. Predictive algorithms allow researchers to assess a compound’s behavior in the body, including absorption, distribution, metabolism, and excretion. Moreover, artificial intelligence-based toxicity prediction models reduce reliance on animal testing by identifying harmful compounds early in the process. This allows pharmaceutical companies and regulatory bodies to take timely action to protect patient safety and maintain compliance with regulations. The integration of artificial intelligence has already led to breakthroughs, such as the rapid identification of antiviral drugs during the COVID-19 pandemic and the discovery of personalized cancer therapies. As artificial intelligence technologies continue to evolve, they hold immense potential to revolutionize the future of pharmaceutical research by reducing development costs, speeding up drug approvals, and enabling personalized medicine. With the growing demand for effective treatments and the complexity of emerging diseases, artificial intelligence is becoming a crucial tool in ensuring faster and safer drug development, ultimately improving patient outcomes and global healthcare.

Key words: Pharmacokinetics, therapies , neurodegenerative , cancer , artificial intelligence , technologies , research , bioactivity .