Integration of AI and traditional medicine in drug discovery

Affiliations

¹ Endocrine and Diabetes Platform, Department of Physiology, University of Toronto, Medical Sciences Building, Room 3352, 1 King's College Circle, Toronto, ON M5S 1A8, Canada; Advanced Diagnostics, Metabolism, Toronto General Hospital Research Institute, Toronto, ON, Canada. Electronic address: Saifur.khan@utoronto.ca.
² Endocrine and Diabetes Platform, Department of Physiology, University of Toronto, Medical Sciences Building, Room 3352, 1 King's College Circle, Toronto, ON M5S 1A8, Canada; Advanced Diagnostics, Metabolism, Toronto General Hospital Research Institute, Toronto, ON, Canada.

Review

Saifur R Khan et al. Drug Discov Today. 2021 Apr.

. 2021 Apr;26(4):982-992.

doi: 10.1016/j.drudis.2021.01.008. Epub 2021 Jan 18.

¹ Endocrine and Diabetes Platform, Department of Physiology, University of Toronto, Medical Sciences Building, Room 3352, 1 King's College Circle, Toronto, ON M5S 1A8, Canada; Advanced Diagnostics, Metabolism, Toronto General Hospital Research Institute, Toronto, ON, Canada. Electronic address: Saifur.khan@utoronto.ca.
² Endocrine and Diabetes Platform, Department of Physiology, University of Toronto, Medical Sciences Building, Room 3352, 1 King's College Circle, Toronto, ON M5S 1A8, Canada; Advanced Diagnostics, Metabolism, Toronto General Hospital Research Institute, Toronto, ON, Canada.

Abstract

AI integration in plant-based traditional medicine could be used to overcome drug discovery challenges.