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Statistical models and reasoning are key to our understanding of the genetic basis of human traits. Modern high-throughput technology presents us with new opportunities and challenges. We develop statistical approaches for high dimensional data in the attempt of improving our understanding of the molecular basis of health related traits.
Perfusion CT Monitoring to Predict Treatment Efficacy in Renal Cell Carcinoma
This pilot clinical trial studies perfusion computed tomography (CT) in predicting response
to treatment in patients with advanced kidney cancer. Comparing results of diagnostic
procedures done before, during, and after targeted therapy may help doctors predict a
patient's response to treatment and help plan the best treatment.
Stanford is currently not accepting patients for this trial.
For more information, please contact Yoriko Imae, 650-498-5186.
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