Cancer Research
@CR_AACR
The foundational, flagship journal of @AACR. Published since 1941.
Attending #AACRai25? Don't miss the keynote lecture, "Computational Approaches to Mapping Cells, Tissues, and Tumor Progression: Where Does AI Help?", by Dana Pe’er, Computational Advisory Editor for Cancer Research.
Read the latest articles in the Cancer Research special series, Driving Cancer Discoveries with Computational Research, Data Science, and Machine Learning/AI: brnw.ch/21wUib5 #ISMBECCB2025
Cancer Research invites you to submit a paper to a special series—Driving Cancer Discoveries with Computational Research, Data Science, and Machine Learning/AI. Learn more: brnw.ch/21wUhkv #ISMBECCB2025
#ICYMI—the March 15 issue received the most votes in our cover contest. Congrats to the authors of "A Cluster of Evolutionarily Recent KRAB Zinc Finger Proteins Protects Cancer Cells from Replicative Stress–Induced Inflammation." brnw.ch/21wUa6n @Trono_Lab @epflSV
Get alerts sent directly to your inbox to stay up to date with all the new issues of Cancer Research. brnw.ch/21wU8GN
Cancer Research aims to be a central platform that acknowledges the unique contributions of the data sciences to cancer research. Read the editorial by Editor-in-Chief Christine A. Iacobuzio-Donahue to learn how the journal is achieving this goal: brnw.ch/21wU69e
The Cancer Research special series, Driving Cancer Discoveries with Computational Research, Data Science, and Machine Learning/AI, is now online. Read the latest articles: brnw.ch/21wU66B
If you're headed to the #AACRai25 plenary session on ML/AI for radiological imaging, check out speaker Caroline Chung's Cancer Research Landmarks commentary, Reproducibility and Reach of Radiomics, published as part of Cancer Research's special series: brnw.ch/21wU5XI
Interested in the #AACRai25 plenary on ML/AI for single cell & spatial data, H&E, & molecular biomarker discovery? Don't miss speaker Elana Fertig's review article, Informatics at the Frontier of Cancer Research, part of Cancer Research's special series: brnw.ch/21wU5PU
Attending #AACRai25? Don't miss today's plenary on bias and fairness in AI research and deployed models, featuring Benjamin Haibe-Kains, Senior Editor for Cancer Research, presenting on "Uncovering and Mitigating Bias in Auto-segmentation Models in Radiation Oncology."
Interested in publishing your work in Cancer Research’s special series: Driving Cancer Discoveries with Computational Research, Data Science, and Machine Learning/AI? Submit your manuscript or a presubmission inquiry: brnw.ch/21wU4PL #AACRai25
If you're attending the #AACRai25 plenary session on ML/AI for genomic and temporal predictions, check out speaker Raul Rabadan's review on illuminating the noncoding genome in cancer using AI, part of Cancer Research's special series: brnw.ch/21wU4Fa #OpenAccess
Attending #AACRai25? Pick up the July 1 issue of the journal to read the inaugural articles in the special series: Driving Cancer Discoveries with Computational Research, Data Science, and Machine Learning/AI. Get the latest series articles online here: brnw.ch/21wU4i4
Senior Associate Editor Kevin Burton, PhD, will be attending the @AACR Special Conference in Cancer Research: Artificial Intelligence and Machine Learning. For questions regarding the journal or to discuss your research, contact him at [email protected]. #AACRai25
Cancer Research aims to be a central platform that acknowledges the unique contributions of the data sciences to cancer research. Read the editorial by Editor-in-Chief Christine A. Iacobuzio-Donahue to learn how the journal is achieving this goal: brnw.ch/21wTQVq
The Cancer Research special series, Driving Cancer Discoveries with Computational Research, Data Science, and Machine Learning/AI, is now online. Read the latest articles: brnw.ch/21wTQGm
#ICYMI—the March 15 issue received the most votes in our cover contest! Congrats to the authors of "A Cluster of Evolutionarily Recent KRAB Zinc Finger Proteins Protects Cancer Cells from Replicative Stress–Induced Inflammation." brnw.ch/21wTt7A @Trono_Lab @epflSV
