Bifulco, Carlo

The Immune Landscape of Cancer

Thorsson, V., Gibbs, D. L., Brown, S. D., Wolf, D., Bortone, D. S., Ou Yang, T.-H., Porta-Pardo, E., Gao, G. F., Plaisier, C. L., Eddy, J. A., et al. (2018) · Immunity

Cancer Immunotherapy and BiomarkersImmune cells in cancer

Cited by 5,870

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

Liu, J., Lichtenberg, T., Hoadley, K. A., Poisson, L. M., Lazar, A. J., Cherniack, A. D., Kovatich, A. J., Benz, C. C., Levine, D. A., Lee, A. V., et al. (2018) · Cell

Cancer Genomics and DiagnosticsGene expression and cancer classification

Cited by 3,725

Oncogenic Signaling Pathways in The Cancer Genome Atlas

Sanchez-Vega, F., Mina, M., Armenia, J., Chatila, W. K., Luna, A., La, K. C., Dimitriadoy, S., Liu, D. L., Kantheti, H. S., Saghafinia, S., et al. (2018) · Cell

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 3,201

Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer

Hoadley, K. A., Yau, C., Hinoue, T., Wolf, D. M., Lazar, A. J., Drill, E., Shen, R., Taylor, A. M., Cherniack, A. D., Thorsson, V., et al. (2018) · Cell

Cancer Genomics and DiagnosticsGene expression and cancer classification

Cited by 2,546

Comprehensive Characterization of Cancer Driver Genes and Mutations

Bailey, M. H., Tokheim, C., Porta-Pardo, E., Sengupta, S., Bertrand, D., Weerasinghe, A., Colaprico, A., Wendl, M. C., Kim, J., Reardon, B., et al. (2018) · Cell

Cancer Genomics and DiagnosticsGenomics and Rare Diseases

Cited by 2,256

Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

Malta, T. M., Sokolov, A., Gentles, A. J., Burzykowski, T., Poisson, L., Weinstein, J. N., Kamińska, B., Huelsken, J., Omberg, L., Gevaert, O., et al. (2018) · Cell

Cancer Cells and MetastasisPluripotent Stem Cells Research

Cited by 2,180

International validation of the consensus Immunoscore for the classification of colon cancer: a prognostic and accuracy study

Pagès, F., Mlecnik, B., Marliot, F., Bindea, G., Ou, F.-S., Bifulco, C., Lugli, A., Zlobec, I., Rau, T. T., Berger, M. D., et al. (2018) · The Lancet

Cancer Immunotherapy and BiomarkersColorectal Cancer Surgical Treatments

Cited by 2,075

Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images

Saltz, J., Gupta, R., Hou, L., Kurc, T., Singh, P., Nguyen, V., Samaras, D., Shroyer, K. R., Zhao, T., Batiste, R., et al. (2018) · Cell Reports

AI in cancer detectionCancer Immunotherapy and Biomarkers

Cited by 1,027

A whole-slide foundation model for digital pathology from real-world data

Xu, H., Usuyama, N., Bagga, J., Zhang, S., Rao, R., Naumann, T., Wong, C., Gero, Z., González, J., Gu, Y., et al. (2024) · Nature

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 921

Comprehensive Characterization of Cancer Driver Genes and Mutations

Bailey, M. H., Tokheim, C., Porta-Pardo, E., Sengupta, S., Bertrand, D., Weerasinghe, A., Colaprico, A., Wendl, M. C., Kim, J., Reardon, B., et al. (2018) · Cell

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 552

Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer

Wang, Y., Xu, X., Maglic, D., Dill, M. T., Mojumdar, K., Ng, P. K.-S., Jeong, K. J., Tsang, Y. H., Moreno, D., Bhavana, V. H., et al. (2018) · Cell Reports

Hippo pathway signaling and YAP/TAZCancer-related molecular mechanisms research

Cited by 500

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Schaub, F. X., Dhankani, V., Berger, A. C., Trivedi, M., Richardson, A. B., Shaw, R., Zhao, W., Zhang, X., Ventura, A., Liu, Y., et al. (2018) · Cell Systems

Cancer Genomics and DiagnosticsCancer-related Molecular Pathways

Cited by 431

Perspective on Oncogenic Processes at the End of the Beginning of Cancer Genomics

Ding, L., Bailey, M. H., Porta-Pardo, E., Thorsson, V., Colaprico, A., Bertrand, D., Gibbs, D. L., Weerasinghe, A., Huang, K.-L., Tokheim, C., et al. (2018) · Cell

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 399

Impacts of European drought events: insights from an international database of text-based reports

Stahl, K., Kohn, I., Blauhut, V., Urquijo, J., De Stefano, L., Acácio, V., Dias, S., Stagge, J. H., Tallaksen, L. M., Kampragou, E., et al. (2016) · Natural Hazards and Earth System Sciences

Hydrology and Drought AnalysisDisaster Management and Resilience

Cited by 382

A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs

Zhang, S., Xu, Y., Usuyama, N., Xu, H., Bagga, J., Tinn, R., Preston, S., Rao, R., Wei, M., Valluri, N., et al. (2025) · NEJM AI

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 283

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Zhao, T., Gu, Y., Yang, J., Usuyama, N., Lee, H. H., Naumann, T., Gao, J., Crabtree, A., Abel, J., Moung-Wen, C., et al. (2024) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 118

Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology

Wong, C., Zhang, S., Gu, Y., Moung, C., Abel, J., Usuyama, N., Weerasinghe, R., Piening, B., Naumann, T., Bifulco, C., et al. (2023) · arXiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 28