Piening, Brian

The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight

Garrett-Bakelman, F. E., Darshi, M., Green, S. J., Gur, R. C., Lin, L., Macias, B. R., McKenna, M. J., Meydan, C., Mishra, T., Nasrini, J., et al. (2019) · Science

Spaceflight effects on biologySpace exploration and regulation

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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

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Longitudinal multi-omics of host–microbe dynamics in prediabetes

Zhou, W., Sailani, M. R., Contrepois, K., Zhou, Y., Ahadi, S., Leopold, S. R., Zhang, M. J., Rao, V., Avina, M., Mishra, T., et al. (2019) · Nature

Adipokines, Inflammation, and Metabolic DiseasesGut microbiota and health

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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

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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

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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

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