A team of researchers at Louisiana State University has developed a way to determine which drug therapies work best against an individual’s unique type of cancer, possibly providing a way to find cures more quickly and make treatment more affordable.
The interdisciplinary team includes researchers from the School of Veterinary Medicine, College of Science, College of Engineering and the Center for Computation & Technology. The group created CancerOmicsNet, a new drug discovery engine run by artificial intelligence.
Using algorithms originally designed to map complex social networks, like those utilized by Facebook, researchers generated three-dimensional graphs of molecular datasets that include cancer cell lines, drug compounds and interactions among proteins inside the human body. The graphs are then analyzed and interconnected by artificial intelligence, forming a much clearer picture of how a specific cancer would respond to a specific drug.
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