Bergquist, Timothy

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Zhou, N., Jiang, Y., Bergquist, T. R., Lee, A. J., Kacsoh, B. Z., Crocker, A. W., Lewis, K. A., Georghiou, G., Nguyen, H. N., Hamid, M. N., et al. (2019) · Genome Biology

Bioinformatics and Genomic NetworksGenomics and Phylogenetic Studies

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Characterizing long COVID: deep phenotype of a complex condition

Deer, R. R., Rock, M. A., Vasilevsky, N., Carmody, L., Rando, H., Anzalone, A. J., Basson, M. D., Bennett, T. D., Bergquist, T., Boudreau, E. A., et al. (2021) · EBioMedicine

Long-Term Effects of COVID-19Biomedical Text Mining and Ontologies

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Federated benchmarking of medical artificial intelligence with MedPerf

Karargyris, A., Umeton, R., Sheller, M. J., Aristizabal, A., George, J., Wuest, A., Pati, S., Kassem, H., Zenk, M., Baid, U., et al. (2023) · Nature Machine Intelligence

Artificial Intelligence in Healthcare and EducationPrivacy-Preserving Technologies in Data

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Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine

Bergquist, T., Schaffter, T., Yan, Y., Yu, T., Prosser, J., Gao, J., Chen, G., Charzewski, Ł., Nawalany, Z., Brugere, I., et al. (2023) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareArtificial Intelligence in Healthcare

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