| Předmět: |
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| Zdroj: |
Women's Health Weekly; 12/19/2023, p125-125, 1p |
| Abstrakt: |
A recent study conducted by researchers at Augusta University focused on predicting the recurrence of ovarian cancer after chemotherapy. The researchers developed a machine learning risk score using serum proteomics to assess the risk of early recurrence. The risk score was validated in an independent cohort, and low-risk patients had a significantly longer time to recurrence compared to high-risk patients. The findings suggest that this risk score could guide maintenance therapy and aid in the development of innovative treatments for patients at high risk of recurrence. [Extracted from the article] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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