Improved Drug Design Towards Personalized Medicine

Note the inclusion of multiple drugs in patient treatment.

Artificial Intelligence-Driven Designer Drug Combinations: From Drug Development to Personalized Medicine

Masturah Bte Mohd Abdul Rashid, Edward Kai-Hua Chow, First Published September 24, 2018 Article Commentary  
https://doi.org/10.1177/2472630318800774

1Cancer Science Institute of Singapore, National University of Singapore, Singapore
2Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore  ... "

Abstract
Artificial intelligence holds great promise in transforming how drugs are designed and patients are treated. In a study recently published in Science Translational Medicine, a unique artificial intelligence platform makes efficient use of small experimental datasets to design new drug combinations as well as identify the best drug combinations for specific patient samples. This quadratic phenotypic optimization platform (QPOP) does not rely on previous assumptions of molecular mechanisms of disease, but rather uses system-specific experimental data to determine the best drug combinations for a specific disease model or a patient sample. In this commentary, we explore how QPOP was applied toward multiple myeloma in the study. We also discuss how this study demonstrates the potential for applications of QPOP toward improving therapeutic regimen design and personalized medicine. ... "