A Bayesian approach for prediction of patient radiosensitivity

Using Bayesian statistical analysis of appearance and repair of DNA damage in peripheral blood lymphocytes following ex-vivo irradiation, we developed a model that reliably discriminated between radiosensitive and non-radiosensitive ex-radiotherapy patients. This new approach to data analysis improves the prospects of developing an assay to identify radiosensitive patients before they are scheduled for radiotherapy.

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