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).

Reuse Permissions
  • Downloads
    pdf (0 B)

    Download count: 0

    Details

    Contributors
    Date Created
    2016-11-16
    Resource Type
  • Text
  • Collections this item is in
    Identifier
    • Digital object identifier: 10.3390/app6110352
    • Identifier Type
      International standard serial number
      Identifier Value
      2076-3417

    Citation and reuse

    Cite this item

    This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.

    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

    Machine-readable links