Hanna, Matthew G.

The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research

Genomics and Phylogenetic StudiesScientific Computing and Data Management

Cited by 27,895

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

Campanella, G., Hanna, M. G., Geneslaw, L., Miraflor, A., Werneck Krauss Silva, V., Busam, K. J., Brogi, E., Reuter, V. E., Klimstra, D. S., & Fuchs, T. J. (2019) · Nature Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 2,799

A foundation model for clinical-grade computational pathology and rare cancers detection

Vorontsov, E., Bozkurt, A., Casson, A., Shaikovski, G., Zelechowski, M., Severson, K., Zimmermann, E., Hall, J., Tenenholtz, N., Fusi, N., et al. (2024) · Nature Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 572

Ethical and Bias Considerations in Artificial Intelligence/Machine Learning

Hanna, M. G., Pantanowitz, L., Jackson, B., Palmer, O., Visweswaran, S., Pantanowitz, J., Deebajah, M., & Rashidi, H. H. (2025) · Modern Pathology

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 535

Metastasis and Immune Evasion from Extracellular cGAMP Hydrolysis

Li, J., Duran, M. A., Dhanota, N., Chatila, W. K., Bettigole, S. E., Kwon, J., Sriram, R. K., Humphries, M. P., Salto-Tellez, M., James, J. A., et al. (2021) · Cancer Discovery

Adenosine and Purinergic SignalingCancer Immunotherapy and Biomarkers

Cited by 312

Future of Artificial Intelligence—Machine Learning Trends in Pathology and Medicine

Hanna, M. G., Pantanowitz, L., Dash, R., Harrison, J. H., Deebajah, M., Pantanowitz, J., & Rashidi, H. H. (2025) · Modern Pathology

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 231

PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology

Shaikovski, G., Casson, A., Severson, K., Zimmermann, E., Wang, Y. K., Kunz, J. D., Retamero, J. A., Oakley, G., Klimstra, D., Kanan, C., et al. (2024) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

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