Shivani developed an interest in cancer research after an immediate family member diagnosed with brain tumor was saved by the doctors.
This is what the Society for Science & the Public (organizers of the competition since its inception in 1942) had to say about Shivani’s work:
The standard method of characterizing tumors relies on visual information, including size, degree of metastasis and microscopic structure. Shivani’s 50-gene model for predicting the recurrence of colon cancer instead uses gene expression profiles to link multiple genetic events that characterize various tumor types. She created her model using two public data sets containing 125 patient samples and coupled it with clinical data to plot statistically significant survival curves. She then used her model to identify drugs that may be effective in treating stage II colon cancer.
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