In this episode we discuss how modern cancer research increasingly requires collaboration between traditional lab scientists and computational experts from the earliest stages of study design. The episode challenges the common misconception that data scientists only analyze data after collection, highlighting how early involvement of computational experts can strengthen experimental design and ultimately lead to more robust cancer research.
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