PharmSci PhD student Jack Bufton wanted to find a way to cut down the process of analyzing data from his experiments. He knew there had to be a solution using code, but didn't have the development skills to build it.
Through an independent research program at U of T, Jack teamed up with fourth year Computer Sciences student Aman Sisodia to create a custom, low-cost solution to his research problem. Using automation, the duo found a way to translate hours of manual analysis into real-time results.
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New nanomedicine platform “TITUR” shows promise for advancing personalized mRNA cancer therapeutics
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