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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  Data: Toward AI-Powered Cancer Etiology Research.
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  Data: <searchLink fieldCode="AU" term="%22Ji+M%22">Ji M</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, Missouri.<br /><searchLink fieldCode="AU" term="%22Zitnik+M%22">Zitnik M</searchLink>; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.<br /><searchLink fieldCode="AU" term="%22Hripcsak+G%22">Hripcsak G</searchLink>; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York.<br /><searchLink fieldCode="AU" term="%22Buenrostro+JD%22">Buenrostro JD</searchLink>; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts.; Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.<br /><searchLink fieldCode="AU" term="%22Cao+Y%22">Cao Y</searchLink>; 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.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Association+for+Cancer+Research%22">American Association for Cancer Research </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101561693 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2159-8290 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221598274%22">21598274 </searchLink><i>NLM ISO Abbreviation: </i>Cancer Discov <i>Subsets: </i>MEDLINE
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        Value: 10.1158/2159-8290.CD-25-2098
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      – TitleFull: Toward AI-Powered Cancer Etiology Research.
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              Text: 2026 May 01
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