Toward AI-Powered Cancer Etiology Research.
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| Title: | Toward AI-Powered Cancer Etiology Research. |
|---|---|
| Authors: | Ji M; Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri.; Alvin J. Siteman Cancer Center, Washington University School of Medicine in St. Louis, St. Louis, Missouri., Zhang L; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, Missouri., Zitnik M; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts., Hripcsak G; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York., Buenrostro JD; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts.; Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts., Cao Y; Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri.; Alvin J. Siteman Cancer Center, Washington University School of Medicine in St. Louis, St. Louis, Missouri.; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, Missouri.; Division of Gastroenterology, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri. |
| Source: | Cancer discovery [Cancer Discov] 2026 May 01; Vol. 16 (5), pp. 841-846. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Association for Cancer Research Country of Publication: United States NLM ID: 101561693 Publication Model: Print Cited Medium: Internet ISSN: 2159-8290 (Electronic) Linking ISSN: 21598274 NLM ISO Abbreviation: Cancer Discov Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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