Kathleen Noller, Taxiarchis Botsis, Pablo G. Camara, Lauren Ciotti, Lee AD. Cooper, Jeremy Goecks, Malachi Griffith, Brian J. Haas, Trey Ideker, Rachel Karchin, Despina Kontos, Jiaying Lai, Daniel Marcus, Clifford A. Meyer, Kristen Naegle, Sarthak Pati, Bjoern Peters, Dexter Pratt, Benjamin J. Raphael, Michael Reich, Guergana K. Savova, Carrie Wright, Elana J. Fertig, Spyridon Bakas
{"title":"Informatics at the Frontier of Cancer Research","authors":"Kathleen Noller, Taxiarchis Botsis, Pablo G. Camara, Lauren Ciotti, Lee AD. Cooper, Jeremy Goecks, Malachi Griffith, Brian J. Haas, Trey Ideker, Rachel Karchin, Despina Kontos, Jiaying Lai, Daniel Marcus, Clifford A. Meyer, Kristen Naegle, Sarthak Pati, Bjoern Peters, Dexter Pratt, Benjamin J. Raphael, Michael Reich, Guergana K. Savova, Carrie Wright, Elana J. Fertig, Spyridon Bakas","doi":"10.1158/0008-5472.can-24-2829","DOIUrl":null,"url":null,"abstract":"Digitized healthcare data, high-throughput profiling technologies, and data repositories have facilitated the emergence of a new era of cancer research. Each data stream requires specialized analysis methods for interpretation. The data-driven era of cancer research requires the development, enhancement, and sustainment of informatics technology software infrastructure, including fundamental methodology development in artificial intelligence and data science. We review current and emerging informatics technology developments for cancer research and discovery, spanning molecular and cellular characterization, image analysis, informatics, and therapeutics. Summarizing the diverse methods and applications of informatics throughout cancer research identifies themes and emerging areas for the next generation of cancer research.","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"11 1","pages":""},"PeriodicalIF":16.6000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/0008-5472.can-24-2829","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Digitized healthcare data, high-throughput profiling technologies, and data repositories have facilitated the emergence of a new era of cancer research. Each data stream requires specialized analysis methods for interpretation. The data-driven era of cancer research requires the development, enhancement, and sustainment of informatics technology software infrastructure, including fundamental methodology development in artificial intelligence and data science. We review current and emerging informatics technology developments for cancer research and discovery, spanning molecular and cellular characterization, image analysis, informatics, and therapeutics. Summarizing the diverse methods and applications of informatics throughout cancer research identifies themes and emerging areas for the next generation of cancer research.
期刊介绍:
Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research.
With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445.
Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.