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Rulla M. Tamimi

Researcher at Cornell University

Publications -  503
Citations -  26917

Rulla M. Tamimi is an academic researcher from Cornell University. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 57, co-authored 433 publications receiving 20750 citations. Previous affiliations of Rulla M. Tamimi include University of Oxford & University of Massachusetts Amherst.

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Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study.

Nicole M. Kuderer, +239 more
- 20 Jun 2020 - 
TL;DR: The outcomes of a cohort of patients with cancer and COVID-19 are characterised and potential prognostic factors for mortality and severe illness are identified and race and ethnicity, obesity status, cancer type, type of anticancer therapy, and recent surgery were not associated with mortality.
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Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Bjarni J. Vilhjálmsson, +394 more
- 01 Oct 2015 - 
TL;DR: LDpred is introduced, a method that infers the posterior mean effect size of each marker by using a prior on effect sizes and LD information from an external reference panel, and outperforms the approach of pruning followed by thresholding, particularly at large sample sizes.
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Association analysis identifies 65 new breast cancer risk loci

Kyriaki Michailidou, +396 more
- 02 Nov 2017 - 
TL;DR: A genome-wide association study of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry finds that heritability of Breast cancer due to all single-nucleotide polymorphisms in regulatory features was 2–5-fold enriched relative to the genome- wide average.
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Artificial intelligence in cancer imaging: Clinical challenges and applications.

Wenya Linda Bi, +25 more
- 01 Mar 2019 - 
TL;DR: The authors review the current state of AI as applied to medical imaging of cancer and describe advances in 4 tumor types to illustrate how common clinical problems are being addressed.
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Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

Nasim Mavaddat, +310 more
- 03 Jan 2019 - 
TL;DR: This PRS, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset is developed and empirically validated and is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.