Artificial intelligence in drug development: present status and future prospects.

Journal: Drug discovery today
Published Date:

Abstract

Artificial intelligence (AI) uses personified knowledge and learns from the solutions it produces to address not only specific but also complex problems. Remarkable improvements in computational power coupled with advancements in AI technology could be utilised to revolutionise the drug development process. At present, the pharmaceutical industry is facing challenges in sustaining their drug development programmes because of increased R&D costs and reduced efficiency. In this review, we discuss the major causes of attrition rates in new drug approvals, the possible ways that AI can improve the efficiency of the drug development process and collaboration of pharmaceutical industry giants with AI-powered drug discovery firms.

Authors

  • Kit-Kay Mak
    School of Postgraduate Studies and Research, International Medical University, Kuala Lumpur, Malaysia; Department of Pharmaceutical Chemistry, School of Pharmacy, International Medical University, Kuala Lumpur, Malaysia.
  • Mallikarjuna Rao Pichika
    Department of Pharmaceutical Chemistry, School of Pharmacy, International Medical University, Kuala Lumpur, Malaysia; Head, Centre for Bioactive Molecules and Drug Delivery, Institute for Research, Development and Innovation (IRDI), International Medical University, Kuala Lumpur, Malaysia. Electronic address: mallikarjunarao@imu.edu.my.