MACHINE LEARNING IDENTIFIES THE ASSOCIATION BETWEEN SECOND PRIMARY MALIGNANCIES AND POSTOPERATIVE RADIOTHERAPY IN YOUNG-ONSET BREAST CANCER PATIENTS.

Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients.

BackgroundA second primary malignant tumor is one of the most important factors affecting the long-term survival of young women with breast cancer (YWBC).As one of the main treatments for breast cancer YWBC patients, postoperative radiotherapy (PORT) may increase the risk of second primary malignancy (SPM).MethodsMachine learning components, includ

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Mitigating properties of vitamin E and olive oil on the teratomorphogenic impacts of lambda-cyhalothrin in developing chick embryos

Embryonic toxicity of lambda-cyhalothrin (LCH) and the mitigating properties of extra virgin olive oil (EVO) and vitamin E were investigated in golden black variety of chick embryos.Fifty fertilized eggs distributed in us polo assn womens socks 5 groups received their respective group treatments at zero days of incubation were recovered after 14 da

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