Goldenberg, Anna

Similarity network fusion for aggregating data types on a genomic scale

Wang, B., Mezlini, A. M., Demir, F., Fiume, M., Tu, Z., Brudno, M., Haibe-Kains, B., & Goldenberg, A. (2014) · Nature Methods

Gene expression and cancer classificationBioinformatics and Genomic Networks

Cited by 2,036

Integrated genomic characterization of pancreatic ductal adenocarcinoma

Raphael, B. J., Hruban, R. H., Aguirre, A. J., Moffitt, R. A., Yeh, J. J., Stewart, C., Robertson, A. G., Cherniack, A. D., Gupta, M., Getz, G., et al. (2017) · Cancer Cell

Pancreatic and Hepatic Oncology ResearchCancer Genomics and Diagnostics

Cited by 2,019

Do no harm: a roadmap for responsible machine learning for health care

Wiens, J., Saria, S., Sendak, M., Ghassemi, M., Liu, V. X., Doshi-Velez, F., Jung, K., Heller, K., Kale, D., Saeed, M., et al. (2019) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 1,266

Intertumoral Heterogeneity within Medulloblastoma Subgroups

Cavalli, F. M. G., Remke, M., Rampasek, L., Peacock, J., Shih, D. J. H., Luu, B., Garzia, L., Torchia, J., Nor, C., Morrissy, A. S., et al. (2017) · Cancer Cell

Glioma Diagnosis and TreatmentCancer Genomics and Diagnostics

Cited by 1,219

Sensitive tumour detection and classification using plasma cell-free DNA methylomes

Shen, S. Y., Singhania, R., Fehringer, G., Chakravarthy, A., Roehrl, M. H. A., Chadwick, D., Zuzarte, P. C., Borgida, A., Wang, T. T., Li, T., et al. (2018) · Nature

Cancer Genomics and DiagnosticsEpigenetics and DNA Methylation

Cited by 983

Machine learning for integrating data in biology and medicine: principles, practice, and opportunities

Zitnik, M., Nguyen, F., Wang, B., Leskovec, J., Goldenberg, A., & Hoffman, M. M. (2019) · Information Fusion

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 675

Transparency and reproducibility in artificial intelligence

Haibe-Kains, B., Adam, G. A., Hosny, A., Khodakarami, F., Massive Analysis Quality Control (MAQC) Society Board of Directors, Shraddha, T., Kusko, R., Sansone, S.-A., Tong, W., Wolfinger, R. D., et al. (2020) · Nature

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 540

What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use

Tonekaboni, S., Joshi, S., McCradden, M. D., & Goldenberg, A. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 318

Biological embedding of experience: a primer on epigenetics

Aristizabal, M. J., Anreiter, I., Halldorsdottir, T., Odgers, C. L., McDade, T. W., Goldenberg, A., Mostafavi, S., Kobor, M. S., Binder, E. B., Sokolowski, M. B., et al. (2020) · Proceedings of the National Academy of Sciences

Epigenetics and DNA MethylationBirth, Development, and Health

Cited by 268

Unsupervised representation learning for time series with temporal neighborhood coding

Tonekaboni, S., Eytan, D., & Goldenberg, A. (2021) · arXiv

Time Series Analysis and ForecastingTopological and Geometric Data Analysis

Cited by 170

Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning

McCradden, M. D., Joshi, S., Anderson, J. A., Mazwi, M., Goldenberg, A., & Zlotnik Shaul, R. (2020) · Journal of the American Medical Informatics Association

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 111

Detecting and Remediating Harmful Data Shifts for the Responsible Deployment of Clinical AI Models

Subasri, V., Krishnan, A., Kore, A., Dhalla, A., Pandya, D., Wang, B., Malkin, D., Razak, F., Verma, A. A., Goldenberg, A., et al. (2025) · JAMA Network Open

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 87

The silent trial - the bridge between bench-to-bedside clinical AI applications

Kwong, J. C. C., Erdman, L., Khondker, A., Skreta, M., Goldenberg, A., McCradden, M. D., Lorenzo, A. J., & Rickard, M. (2022) · Frontiers in Digital Health

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 73

How Interpretable and Trustworthy are GAMs?

Chang, C.-H., Tan, S., Lengerich, B., Goldenberg, A., & Caruana, R. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Explainable Artificial Intelligence (XAI)Machine Learning and Data Classification

Cited by 66

The Toronto Postliver Transplantation Hepatocellular Carcinoma Recurrence Calculator: A Machine Learning Approach

Ivanics, T., Nelson, W., Patel, M. S., Claasen, M. P. A. W., Lau, L., Gorgen, A., Abreu, P., Goldenberg, A., Erdman, L., & Sapisochin, G. (2022) · Liver Transplantation

Hepatocellular Carcinoma Treatment and PrognosisOrgan Transplantation Techniques and Outcomes

Cited by 53

Identifying Modifiable Predictors of Long‐Term Survival in Liver Transplant Recipients with Diabetes Mellitus Using Machine Learning

Yasodhara, A., Dong, V., Azhie, A., Goldenberg, A., & Bhat, M. (2021) · Liver Transplantation

Organ Transplantation Techniques and OutcomesTransplantation: Methods and Outcomes

Cited by 37

What's fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning

Mccradden, M., Odusi, O., Joshi, S., Akrout, I., Ndlovu, K., Glocker, B., Maicas, G., Liu, X., Mazwi, M., Garnett, T., et al. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 33

A comprehensive EHR timeseries pre-training benchmark

McDermott, M., Nestor, B., Kim, E., Zhang, W., Goldenberg, A., Szolovits, P., & Ghassemi, M. (2021) · Proceedings of the Conference on Health, Inference, and Learning

Machine Learning in HealthcareDomain Adaptation and Few-Shot Learning

Cited by 24

Regulating the safety of health–related artificial intelligence.

Silva, M., Flood, C., Goldenberg, A., & Singh, D. (2022) · Healthcare Policy | Politiques de Santé

Healthcare RegulationDigitalization, Law, and Regulation

Cited by 23