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6 days ago ˇ Explore how AI leverages genetic profiling to predict breast cancer risk using common variants for improved healthcare outcomes. | Restackio.
5 days ago ˇ In conclusion, we have demonstrated that iCARE models based on classical risk factors perform similarly and, in some cases, better than established models for ...
4 days ago ˇ Deciphering associations between three RNA splicing-related genetic variants and lung cancer risk. ... Association analysis identifies 65 new breast cancer risk ...
2 days ago ˇ The results suggest that combining FH and genetic risk score allows for better identification of the group at the highest risk of incident cancer. These ...
4 days ago ˇ Genomic profiles and prognostic biomarkers in patients with acute myeloid leukemia (AML) from ancestry-diverse populations are underexplored.
5 days ago ˇ The risk of breast cancer development and prognosis may be associated with genetic variation in the CCND1 genotype, which may be used as a biomarker for ...
1 day ago ˇ The model, based on machine learning algorithms, identified seven key genes, significantly predicting patient prognosis. Moreover, the HRD score prognostic ...
6 days ago ˇ Genetic Predisposition: AI tools can analyze genetic markers that indicate a higher risk of breast cancer, such as mutations in the BRCA1 and BRCA2 genes.
5 days ago ˇ Recently, the rise of advanced molecular biomarkers identified through single cell profiling has increased our understanding of cellular heterogeneity in cancer ...
7 days ago ˇ Large rearrangements or whole gene deletions of BRCA1 are linked to an increased risk of hereditary breast and/or ovarian cancer. However, the ...