Description
Predicting the timing of a castrate resistant prostate cancer is critical to lowering medical costs and improving the quality of life of advanced prostate cancer patients. We formulate, compare and analyze two mathematical models that aim to forecast future levels of prostate-specific antigen (PSA).
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- Baez, Javier (Author)
- Kuang, Yang (Author)
- College of Liberal Arts and Sciences (Contributor)
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2016-11-16
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- Digital object identifier: 10.3390/app6110352
- Identifier TypeInternational standard serial numberIdentifier Value2076-3417
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Baez, J., & Kuang, Y. (2016). Mathematical Models of Androgen Resistance in Prostate Cancer Patients under Intermittent Androgen Suppression Therapy. Applied Sciences, 6(11). doi:10.3390/app6110352