Artificial Intelligence Used For Faster And Systematic Drug Discovery

A husband-and-wife research team from University Of California-San Francisco(UCSF) was able to develop a new method that uses artificial intelligence for faster and systematic drug discovery. This new method drops the cost and time for searching possible new drugs to treat illnesses and diseases. Professors of Pharmaceutical Chemistry at UCSF, Steven Atschuler and his wife, Lani Wu, have developed a way to make drug discovery faster and at a cheaper cost than that of the traditional method. The duo developed a method that involves engineering reporter cells and using a software program that uses artificial intelligence to scan and search compound libraries. This new method utilizes the cellular biology and computational analytics to find possible new drugs.