Automated real-world data integration improves cancer outcome prediction
2024 · Nature · 123 citations
https://doi.org/10.1038/s41586-024-08167-5
M
Michele Waters
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Michele Waters is an academic researcher from Cancer Research And Biostatistics. The author has contributed to research in topics: Colorectal Cancer Screening and Detection & Cancer Genomics and Diagnostics & Colorectal Cancer Surgical Treatments. The author has an h-index of 8, co-authored 40 publications.
ORCID: 0000-0002-5416-5172Papers by this author
worksFluid shear stress induces the clustering of heparan sulfate via mobility of glypican-1 in lipid rafts
2013 · American Journal of Physiology-Heart and Circulatory Physiology · 95 citations
https://doi.org/10.1152/ajpheart.00764.2012
Multimodal histopathologic models stratify hormone receptor-positive early breast cancer
2025 · Nature Communications · 33 citations
https://doi.org/10.1038/s41467-025-57283-x
Large language model trained on clinical oncology data predicts cancer progression
2025 · npj Digital Medicine · 7 citations
https://doi.org/10.1038/s41746-025-01780-2
Machine learning predictions improve identification of real-world cancer driver mutations
2024 · bioRxiv (Cold Spring Harbor Laboratory) · 0 citations
https://doi.org/10.1101/2024.03.31.587410
Supplementary Data Table S1 from Assessing Racial Disparities in Guideline-Concordant Care and Clinical Outcomes after Surgical Resection of Nonmetastatic Colon Cancer at a Comprehensive Cancer Center
2025 · Figshare · 0 citations
https://doi.org/10.1158/2767-9764.29596628
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