Medicine and other scientific areas have always used computing power wherever they could find it– to help modeling go faster and arrive at viable drugs more quickly.
But when we apply the most recent advancements in artificial intelligence to the most advanced drug development programs, we get something else entirely: truly “personalized medicine.” But what’s personalized about it, and how does AI play a role?
What’s New in AI and Drug Development?
Multiple studies have been published recently describing practical ways of using artificial intelligence to achieve personalized healthcare. Researchers who’ve published in SLAS Technology and Science Translational Medicine outline the use of AI-powered “quadratic phenotypic optimization platform,” or QPOP.
This article highlights the scope for developing therapeutics with new innovative, alternative approaches. The current trillion dollars pharmaceutical industry is in peril where the current drug development pipeline is slow, inefficient and incapable of being extended to multi-combination drug therapies as well as minimally focused on prevention. The complex modeling of diseases and biological functions has been limited because of the inability to integrate large scale molecular pathways.
Watch this Video to understand how recent advances provide breakthrough technology for doing scalable modeling of complex molecular systems to dramatically accelerate drug discovery and development.