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Data Mining Techniques Could Improve Cancer Gene Therapies

February 10, 2020 / Jessica Kent

A team of scientists from Purdue University and other research institutions around the world leveraged data mining techniques to better understand trends in the gene therapy field in respect to nonviral vectors. With the global gene therapy market expected to reach $13 billion by 2024, researchers are seeking to understand as much as they can about how these treatment can target cancer and other diseases. Purdue scientists joined forced with researchers from around the globe to learn more about the increasing number of worldwide patented innovations available for gene therapy treatment. The team focused specifically on nonviral methods, which use synthetic or natural compounds or physical forces to deliver materials that are generally less toxic than their viral counterparts into therapy treatments.