Artificial intelligence and machine learning assisted drug delivery for effective treatment of infectious diseases.

Journal: Advanced drug delivery reviews
Published Date:

Abstract

In the era of antimicrobial resistance, the prevalence of multidrug-resistant microorganisms that resist conventional antibiotic treatment has steadily increased. Thus, it is now unquestionable that infectious diseases are significant global burdens that urgently require innovative treatment strategies. Emerging studies have demonstrated that artificial intelligence (AI) can transform drug delivery to promote effective treatment of infectious diseases. In this review, we propose to evaluate the significance, essential principles, and popular tools of AI in drug delivery for infectious disease treatment. Specifically, we will focus on the achievements and key findings of current research, as well as the applications of AI on drug delivery throughout the whole antimicrobial treatment process, with an emphasis on drug development, treatment regimen optimization, drug delivery system and administration route design, and drug delivery outcome prediction. To that end, the challenges of AI in drug delivery for infectious disease treatments and their current solutions and future perspective will be presented and discussed.

Authors

  • Sheng He
    Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, USA. Electronic address: heshengxgd@gmail.com.
  • Leon G Leanse
    Massachusetts General Hospital, Harvard Medical School, Harvard University, Boston, MA, USA.
  • Yanfang Feng
    The Key Laboratory of Crop and Livestock Integration of the Ministry of Agriculture and Rural Affairs, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Jiangsu Academy of Agriculture Sciences, Nanjing, 210014, China.