How Computational Techniques Can Improve CAR-T Therapy
MS Student Bioinformatics and Computational Biology, CBCB
University of Delaware
Abstract: CAR-T therapy has shown great promise in treating several Hematologic cancers. The most remarkable results have been demonstrated in patients with B-cell leukemias and lymphomas. Although many patients have seen great improvements and a decrease in remission, there are still many barriers inherent to the treatment that make it difficult to expand its clinical use. With the use of several different computational tools, scientists are learning new ways to inhibit these barriers. The use of these tools may help in increasing anti-tumor activity while decreasing the negative side effects associated with treatment.
Bio: Andrew Fennimore is currently working towards his Master of Science in Bioinformatics and Computational Biology as a non-thesis student. He works as the lead clinical analyst at Penn Medicine and his previous work focused on clinical hematology and molecular diagnostics. He received his undergraduate degree in Health Science from George Washington University and later went on to receive a Masters in Management Information Systems and an M.B.A. in Healthcare Administration.