Four Harrisburg University graduate students and their biotechnology professor co-authored a research paper that has been published by a medical journal.
The paper, “Application of Artificial Intelligence and Machine Learning in Drug Discovery and Development,” appeared this month in the Journal of Drug Delivery and Therapeutics.
Dr. Madhukiran Parvathaneni teamed with M.S. Biotechnology students enrolled in his Regulatory Affairs course to write the article. The co-authors are Abduselam K. Awol, Monika Kumari, Ke Lan and Manisha Lingam.
The following is the paper abstract:
“Drug discovery has traditionally been a time consuming and expensive endeavor. Additionally, drugs weren’t as effectively designed as those that are being predicted and developed through AI and ML today. Machine learning is a form of artificial intelligence that develops and evolves based on experience (similarly to the human mind), and is more recently being utilized in drug discovery and design. The integration of AI and ML into the drug discovery and development process has allowed for higher target precision, lower toxicity, and better dosage formulations. AI more generally has been introduced to and has been leveraged at, each step of drug development, including target identification and validation, hit identification, as well as hit to lead optimization, and has been key in shortening the previously lengthy drug screening process. AI and ML has also been applied downstream in drug formulation where it has maximized resource utilization and is allowing for web-based 3D printing of drugs. Application of AI in the drug development process has also been extended to the modeling of novel drug-like compounds to predict their ADMET properties. This review will address the stages of drug discovery and development in which the application of AI and ML modeling has altered the traditional development of drugs.”
To view the article, please visit this link.
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