Craig H. Mermel, Ph.D.

Affiliations: 
2010 Harvard University, Cambridge, MA, United States 
Area:
Genetics, Bioinformatics Biology, Biostatistics Biology
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"Craig Mermel"

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Metthew Meyerson grad student 2010 Harvard
 (The Analysis of Somatic Copy Number Alteration in Human Cancers.)
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Publications

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Nagpal K, Foote D, Tan F, et al. (2020) Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens. Jama Oncology
Wulczyn E, Steiner DF, Xu Z, et al. (2020) Deep learning-based survival prediction for multiple cancer types using histopathology images. Plos One. 15: e0233678
Ibrahim A, Gamble P, Jaroensri R, et al. (2019) Artificial intelligence in digital breast pathology: Techniques and applications. Breast (Edinburgh, Scotland). 49: 267-273
Chen PC, Gadepalli K, MacDonald R, et al. (2019) An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis. Nature Medicine
Nagpal K, Foote D, Liu Y, et al. (2019) Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. Npj Digital Medicine. 2: 48
Kugel S, Feldman JL, Klein MA, et al. (2015) Identification of and Molecular Basis for SIRT6 Loss-of-Function Point Mutations in Cancer. Cell Reports. 13: 479-88
Niederst MJ, Sequist LV, Poirier JT, et al. (2015) RB loss in resistant EGFR mutant lung adenocarcinomas that transform to small-cell lung cancer. Nature Communications. 6: 6377
Ahronian LG, Sennott EM, Van Allen EM, et al. (2015) Clinical Acquired Resistance to RAF Inhibitor Combinations in BRAF-Mutant Colorectal Cancer through MAPK Pathway Alterations. Cancer Discovery. 5: 358-67
Jaiswal S, Fontanillas P, Flannick J, et al. (2014) Age-related clonal hematopoiesis associated with adverse outcomes. The New England Journal of Medicine. 371: 2488-98
Rampal R, Al-Shahrour F, Abdel-Wahab O, et al. (2014) Integrated genomic analysis illustrates the central role of JAK-STAT pathway activation in myeloproliferative neoplasm pathogenesis. Blood. 123: e123-33
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