The overall AUCs for first and second ER-positive and ER-negative BCs ranged between 0.73 and 0.82.Conclusions:ThePREDICTtool largely underestimated the 5-year BC-specific mortality in women diagnosed with a second ER-positive breast cancer and in many subgroups of women diagnosed with a second ...
PREDICT is a widely used online prognostication and treatment benefit tool for patients with early stage breast cancer. The aim of this study was to conduct an independent validation exercise of the most up-to-date version of the PREDICT algorithm (version 2) using real-world outcomes from the...
LONDON, March 15 (Xinhua) -- Scientists have been trying to better predict if and when women's breast cancer could come back using statistical tools. A team consisting of researchers from the University of Cambridge and Stanford University has examined the patterns of genetic changes within tumour...
AGOSTINETTO:What we presented at ASCO 2021 are the results of our study, evaluating the prognostic role of PREDICT+ in the patients with HER2-positive early breast cancer. PREDICT+ is a widely used online tool that helps to show how the treatments administered after a breast cancer surgery ca...
An image-based risk prediction model using digital breast tomosynthesis (DBT) can predict the risk for breast cancer after a negative screening exam, according to a study published in the May 11 issue of Science Translational Medicine.
Pathological complete response (pCR) after neoadjuvant chemotherapy (NACT) can predict better survival outcomes in patients with early triple negative breast cancer (TNBC). Tumor infiltrating lymphocytes (TILs), Programmed Death-Ligand 1 (PD-L1), and Cluster of Differentiation 73 (CD73) are immune-...
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Airway disease is a major healthcare issue that causes at least 3 million fatalities every year. It is also considered one of the foremost causes of death
We observed increasing event rates over metabolomic state percentiles for all 24 investigated diseases, except breast cancer. For 15 of the 24 diseases, the top 10% of the metabolomic state corresponded to a rate more than fivefold higher compared with the bottom 10%. For conditions such ...
the microbiome. We develop LOCATE (Latent variables Of miCrobiome And meTabolites rElations), a machine learning tool to predict the metabolite concentration from the microbiome composition and produce a latent representation of the interaction. This representation is then used to predict the host ...