Mermel, Craig H.

Mutational heterogeneity in cancer and the search for new cancer-associated genes

Lawrence, M. S., Stojanov, P., Polak, P., Kryukov, G. V., Cibulskis, K., Sivachenko, A., Carter, S. L., Stewart, C., Mermel, C. H., Roberts, S. A., et al. (2013) · Nature

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 5,461

Age-related clonal hematopoiesis associated with adverse outcomes

Jaiswal, S., Fontanillas, P., Flannick, J., Manning, A., Grauman, P. V., Mar, B. G., Lindsley, R. C., Mermel, C. H., Burtt, N., Chavez, A., et al. (2014) · New England Journal of Medicine

Acute Myeloid Leukemia ResearchCancer Genomics and Diagnostics

Cited by 4,841

The landscape of somatic copy-number alteration across human cancers

Beroukhim, R., Mermel, C. H., Porter, D., Wei, G., Raychaudhuri, S., Donovan, J., Barretina, J., Boehm, J. S., Dobson, J., Urashima, M., et al. (2010) · Nature

Cancer Genomics and DiagnosticsGenomic variations and chromosomal abnormalities

Cited by 4,017

Discovery and saturation analysis of cancer genes across 21 tumour types

Lawrence, M. S., Stojanov, P., Mermel, C. H., Robinson, J. T., Garraway, L. A., Golub, T. R., Meyerson, M., Gabriel, S. B., Lander, E. S., & Getz, G. (2014) · Nature

Cancer Genomics and DiagnosticsGenomics and Rare Diseases

Cited by 3,096

Subtype-specific genomic alterations define new targets for soft-tissue sarcoma therapy

Barretina, J., Taylor, B. S., Banerji, S., Ramos, A. H., Lagos-Quintana, M., DeCarolis, P. L., Shah, K., Socci, N. D., Weir, B. A., Ho, A., et al. (2010) · Nature Genetics

Sarcoma Diagnosis and TreatmentChromatin Remodeling and Cancer

Cited by 735

RB loss in resistant EGFR mutant lung adenocarcinomas that transform to small-cell lung cancer

Niederst, M. J., Sequist, L. V., Poirier, J. T., Mermel, C. H., Lockerman, E. L., Garcia, A. R., Katayama, R., Costa, C., Ross, K. N., Moran, T., et al. (2015) · Nature Communications

Lung Cancer Treatments and MutationsLung Cancer Research Studies

Cited by 647

The histone methyltransferase SETDB1 is recurrently amplified in melanoma and accelerates its onset

Ceol, C. J., Houvras, Y., Jane-Valbuena, J., Bilodeau, S., Orlando, D. A., Battisti, V., Fritsch, L., Lin, W. M., Hollmann, T. J., Ferré, F., et al. (2011) · Nature

Melanoma and MAPK PathwaysZebrafish Biomedical Research Applications

Cited by 542

PTEN Loss Contributes to Erlotinib Resistance in EGFR-Mutant Lung Cancer by Activation of Akt and EGFR

Sos, M. L., Koker, M., Weir, B. A., Heynck, S., Rabinovsky, R., Zander, T., Seeger, J. M., Weiss, J., Fischer, F., Frommolt, P., et al. (2009) · Cancer Research

Lung Cancer Treatments and MutationsHER2/EGFR in Cancer Research

Cited by 504

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

Nagpal, K., Foote, D., Liu, Y., Chen, P.-H. C., Wulczyn, E., Tan, F., Olson, N., Smith, J. L., Mohtashamian, A., Wren, J. H., et al. (2019) · npj Digital Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 495

Systematic investigation of genetic vulnerabilities across cancer cell lines reveals lineage-specific dependencies in ovarian cancer

Cheung, H. W., Cowley, G. S., Weir, B. A., Boehm, J. S., Rusin, S., Scott, J. A., East, A., Ali, L. D., Lizotte, P. H., Wong, T. C., et al. (2011) · Proceedings of the National Academy of Sciences

Ovarian cancer diagnosis and treatmentChromatin Remodeling and Cancer

Cited by 423

An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis

Chen, P.-H. C., Gadepalli, K., MacDonald, R., Liu, Y., Kadowaki, S., Nagpal, K., Kohlberger, T., Dean, J., Corrado, G. S., Hipp, J. D., et al. (2019) · Nature Medicine

AI in cancer detectionAugmented Reality Applications

Cited by 342

Clinical Acquired Resistance to RAF Inhibitor Combinations in BRAF -Mutant Colorectal Cancer through MAPK Pathway Alterations

Ahronian, L. G., Sennott, E. M., Van Allen, E. M., Wagle, N., Kwak, E. L., Faris, J. E., Godfrey, J. T., Nishimura, K., Lynch, K. D., Mermel, C. H., et al. (2015) · Cancer Discovery

Colorectal Cancer Treatments and StudiesMelanoma and MAPK Pathways

Cited by 322

Deep learning-based survival prediction for multiple cancer types using histopathology images

Wulczyn, E., Steiner, D. F., Xu, Z., Sadhwani, A., Wang, H., Flament-Auvigne, I., Mermel, C. H., Chen, P.-H. C., Liu, Y., & Stumpe, M. C. (2020) · PLOS ONE

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 266

Interpretable survival prediction for colorectal cancer using deep learning

Wulczyn, E., Steiner, D. F., Moran, M., Plass, M., Reihs, R., Tan, F., Flament-Auvigne, I., Brown, T., Regitnig, P., Chen, P.-H. C., et al. (2021) · npj Digital Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 231

Artificial intelligence in digital breast pathology: Techniques and applications

Ibrahim, A., Gamble, P., Jaroensri, R., Abdelsamea, M. M., Mermel, C. H., Chen, P.-H. C., & Rakha, E. A. (2020) · The Breast

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 202

Determining breast cancer biomarker status and associated morphological features using deep learning

Gamble, P., Jaroensri, R., Wang, H., Tan, F., Moran, M., Brown, T., Flament-Auvigne, I., Rakha, E. A., Toss, M., Dabbs, D. J., et al. (2021) · Communications Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 154

Identification of and molecular basis for sirt6 loss-of-function point mutations in cancer

Kugel, S., Feldman, J. L., Klein, M. A., Silberman, D. M., Sebastián, C., Mermel, C., Dobersch, S., Clark, A. R., Getz, G., Denu, J. M., et al. (2015) · Cell Reports

Sirtuins and Resveratrol in MedicineHistone Deacetylase Inhibitors Research

Cited by 81

Evaluation of artificial intelligence on a reference standard based on subjective interpretation

Chen, P.-H. C., Mermel, C. H., & Liu, Y. (2021) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 63

The Layer 7 Cortical Interface: A Scalable and Minimally Invasive Brain–Computer Interface Platform

Hettick, M., Ho, E., Poole, A. J., Monge, M., Papageorgiou, D., Takahashi, K., LaMarca, M., Trietsch, D., Reed, K., Murphy, M., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory)

Neuroscience and Neural EngineeringEEG and Brain-Computer Interfaces

Cited by 31