Rimm, David L.

Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology

Bera, K., Schalper, K. A., Rimm, D. L., Velcheti, V., & Madabhushi, A. (2019) · Nature Reviews Clinical Oncology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 1,698

PD-L1 as a biomarker of response to immune-checkpoint inhibitors

Doroshow, D. B., Bhalla, S., Beasley, M. B., Sholl, L. M., Kerr, K. M., Gnjatic, S., Wistuba, I. I., Rimm, D. L., Tsao, M. S., & Hirsch, F. R. (2021) · Nature Reviews Clinical Oncology

Cancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

Cited by 1,575

Estrogen and progesterone receptor testing in breast cancer: ASCO/CAP Guideline update

Allison, K. H., Hammond, M. E. H., Dowsett, M., McKernin, S. E., Carey, L. A., Fitzgibbons, P. L., Hayes, D. F., Lakhani, S. R., Chavez-MacGregor, M., Perlmutter, J., et al. (2020) · Journal of Clinical Oncology

Breast Cancer Treatment StudiesBreast Lesions and Carcinomas

Cited by 1,574

Integrative genomic analyses identify MITF as a lineage survival oncogene amplified in malignant melanoma

Garraway, L. A., Widlund, H. R., Rubin, M. A., Getz, G., Berger, A. J., Ramaswamy, S., Beroukhim, R., Milner, D. A., Granter, S. R., Du, J., et al. (2005) · Nature

Melanoma and MAPK PathwaysCutaneous Melanoma Detection and Management

Cited by 1,548

Adhesion between epithelial cells and T lymphocytes mediated by E-cadherin and the αEβ7 integrin

Cepek, K. L., Shaw, S. K., Parker, C. M., Russell, G. J., Morrow, J. S., Rimm, D. L., & Brenner, M. B. (1994) · Nature

Cell Adhesion Molecules ResearchT-cell and B-cell Immunology

Cited by 1,178

Impaired HLA Class I Antigen Processing and Presentation as a Mechanism of Acquired Resistance to Immune Checkpoint Inhibitors in Lung Cancer

Gettinger, S., Choi, J., Hastings, K., Truini, A., Datar, I., Sowell, R., Wurtz, A., Dong, W., Cai, G., Melnick, M. A., et al. (2017) · Cancer Discovery

Cancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

Cited by 787

A Prospective, Multi-institutional, Pathologist-Based Assessment of 4 Immunohistochemistry Assays for PD-L1 Expression in Non–Small Cell Lung Cancer

Rimm, D. L., Han, G., Taube, J. M., Yi, E. S., Bridge, J. A., Flieder, D. B., Homer, R., West, W. W., Wu, H., Roden, A. C., et al. (2017) · JAMA Oncology

Cancer Immunotherapy and BiomarkersLung Cancer Treatments and Mutations

Cited by 764

Alpha 1(E)-catenin is an actin-binding and -bundling protein mediating the attachment of F-actin to the membrane adhesion complex.

Rimm, D. L., Koslov, E. R., Kebriaei, P., Cianci, C. D., & Morrow, J. S. (1995) · Proceedings of the National Academy of Sciences

Cellular Mechanics and InteractionsCell Adhesion Molecules Research

Cited by 735

A proposal for validation of antibodies

Uhlen, M., Bandrowski, A., Carr, S., Edwards, A., Ellenberg, J., Lundberg, E., Rimm, D. L., Rodriguez, H., Hiltke, T., Snyder, M., et al. (2016) · Nature Methods

Monoclonal and Polyclonal Antibodies ResearchMolecular Biology Techniques and Applications

Cited by 626

RAS/MAPK Activation Is Associated with Reduced Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer: Therapeutic Cooperation Between MEK and PD-1/PD-L1 Immune Checkpoint Inhibitors

Loi, S., Dushyanthen, S., Beavis, P. A., Salgado, R., Denkert, C., Savas, P., Combs, S., Rimm, D. L., Giltnane, J. M., Estrada, M. V., et al. (2016) · Clinical Cancer Research

Cancer Immunotherapy and BiomarkersBreast Cancer Treatment Studies

Cited by 536

PD-L1 Expression in Lung Cancer

Yu, H., Boyle, T. A., Zhou, C., Rimm, D. L., & Hirsch, F. R. (2016) · Journal of Thoracic Oncology

Cancer Immunotherapy and BiomarkersLung Cancer Research Studies

Cited by 482

Immune Cell PD-L1 Colocalizes with Macrophages and Is Associated with Outcome in PD-1 Pathway Blockade Therapy

Liu, Y., Zugazagoitia, J., Ahmed, F. S., Henick, B. S., Gettinger, S. N., Herbst, R. S., Schalper, K. A., & Rimm, D. L. (2020) · Clinical Cancer Research

Cancer Immunotherapy and BiomarkersImmune cells in cancer

Cited by 322

Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images

Noorbakhsh, J., Farahmand, S., Foroughi pour, A., Namburi, S., Caruana, D., Rimm, D., Soltanieh-ha, M., Zarringhalam, K., & Chuang, J. H. (2020) · Nature Communications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 206

Development and Clinical Validation of an In Situ Biopsy-Based Multimarker Assay for Risk Stratification in Prostate Cancer

Blume-Jensen, P., Berman, D. M., Rimm, D. L., Shipitsin, M., Putzi, M., Nifong, T. P., Small, C., Choudhury, S., Capela, T., Coupal, L., et al. (2015) · Clinical Cancer Research

Prostate Cancer Diagnosis and TreatmentProstate Cancer Treatment and Research

Cited by 179

An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy

Perincheri, S., Levi, A. W., Celli, R., Gershkovich, P., Rimm, D., Morrow, J. S., Rothrock, B., Raciti, P., Klimstra, D., & Sinard, J. (2021) · Modern Pathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 154