Biomedical and Translational Informatics Laboratory

  • Tong, B. et al. (2024). Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. In: Cao, X., Xu, X., Rekik, I., Cui, Z., Ouyang, X. (eds) Machine Learning in Medical Imaging. MLMI 2023. Lecture Notes in Computer Science, vol 14349. Springer, Cham.
  • Compher, C. W., Quinn, R., Haslam, R., Bader, E., Weaver, J., Dudek, S., Ritchie, M. D., Lewis, J. D., & Wu, G. D. (2024). Penn Healthy Diet survey: pilot validation and scoring. The British Journal of Nutrition., 131(1), 156–162.
  • Li, R., Benz, L., Duan, R., Denny, J. C., Hakonarson, H., Mosley, J. D., Smoller, J. W., Wei, W.-Q., Ritchie, M. D., Moore, J. H., & Chen, Y. (2024). MixWAS: An efficient distributed algorithm for mixed-outcomes genome-wide association studies. Medrxiv.
  • Verma, S. S., Gudiseva, H. V., Chavali, V. R. M., Salowe, R. J., Bradford, Y., Guare, L., Lucas, A., Collins, D. W., Vrathasha, V., Nair, R. M., Rathi, S., Zhao, B., He, J., Lee, R., Zenebe-Gete, S., Bowman, A. S., McHugh, C. P., Zody, M. C., Pistilli, M., … O’Brien, J. M. (2024). A multi-cohort genome-wide association study in African ancestry individuals reveals risk loci for primary open-angle glaucoma. Cell, 187(2).
  • Chae, A., Yao, M. S., Sagreiya, H., Goldberg, A. D., Chatterjee, N., MacLean, M. T., Duda, J., Elahi, A., Borthakur, A., Ritchie, M. D., Rader, D., Kahn, C. E., Witschey, W. R., & Gee, J. C. (2024). Strategies for implementing machine learning algorithms in the clinical practice of Radiology. Radiology, 310(1).
  • Wen, J., Zhao, B., Yang, Z. et al. The genetic architecture of multimodal human brain age. Nat Commun 15, 2604 (2024).