Kwasniewski, M., Korotko, U., Chwialkowska, K., Niemira, M., Jaroszewicz, J., Sobala-Szczygiel, B., Puzanowska, B., Moniuszko-Malinowska, A., Pancewicz, S., Parfieniuk-Kowerda, A., Martonik, D., Zarebska-Michaluk, D., Simon, K., Pazgan-Simon, M., Mozer-Lisewska, I., Bura, M., Adamek, A., Tomasiewicz, K., Pawłowska, M., … Moniuszko, M. (2023). Implementation of the web-based calculator estimating odds ratio of severe COVID-19 for unvaccinated individuals in a country with high coronavirus-related death toll. Allergy, 78(1), 311–314. https://doi.org/10.1111/all.15524 Cite Download
Mease, P. J., Wei, Q., Chiorean, M., Iles-Shih, L., & Hadlock, J. (2022). Op0247 Risk Factors for Severe Covid-19 Outcomes: A Study of Immune-Mediated Inflammatory Diseases, Therapies and Comorbidities in a Large Us Healthcare System. Annals of the Rheumatic Diseases, 81(Suppl 1), 161–162. https://doi.org/10.1136/annrheumdis-2022-eular.2163 Cite Download
Watanabe, K., Wilmanski, T., Diener, C., Zimmer, A., Lincoln, B., Hadlock, J. J., Lovejoy, J. C., Magis, A. T., Hood, L., Price, N. D., & Rappaport, N. (2022). Multiomic investigations of Body Mass Index reveal heterogeneous trajectories in response to a lifestyle intervention. medRxiv. https://doi.org/10.1101/2022.01.20.22269601 Cite Download
Goldman, J. D., Wang, K., Röltgen, K., Nielsen, S. C. A., Roach, J. C., Naccache, S. N., Yang, F., Wirz, O. F., Yost, K. E., Lee, J.-Y., Chun, K., Wrin, T., Petropoulos, C. J., Lee, I., Fallen, S., Manner, P. M., Wallick, J. A., Algren, H. A., Murray, K. M., … Heath, J. R. (2022). Reinfection with SARS-CoV-2 and Waning Humoral Immunity: A Case Report. Vaccines, 11(1), 5. https://doi.org/10.3390/vaccines11010005 Cite Download
Duvvuri, V. R., Baumgartner, A., Molani, S., Hernandez, P. V., Yuan, D., Roper, R. T., Matos, W. F., Robinson, M., Su, Y., Subramanian, N., Goldman, J. D., Heath, J. R., & Hadlock, J. J. (2022). Angiotensin-Converting Enzyme (ACE) Inhibitors May Moderate COVID-19 Hyperinflammatory Response: An Observational Study with Deep Immunophenotyping. Health Data Science, 2022, 0002. https://doi.org/10.34133/hds.0002 Cite Download
Unni, D. R., Moxon, S. A. T., Bada, M., Brush, M., Bruskiewich, R., Caufield, J. H., Clemons, P. A., Dancik, V., Dumontier, M., Fecho, K., Glusman, G., Hadlock, J. J., Harris, N. L., Joshi, A., Putman, T., Qin, G., Ramsey, S. A., Shefchek, K. A., Solbrig, H., … Biomedical Data Translator Consortium. (2022). Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science. Clinical and Translational Science, 15(8), 1848–1855. https://doi.org/10.1111/cts.13302 Cite Download
Piekos, S. N., Price, N. D., Hood, L., & Hadlock, J. J. (2022). The impact of maternal SARS-CoV-2 infection and COVID-19 vaccination on maternal-fetal outcomes. Reproductive Toxicology (Elmsford, N.Y.), S0890-6238(22)00153-8. https://doi.org/10.1016/j.reprotox.2022.10.003 Cite
Molani, S., Hernandez, P. V., Roper, R. T., Duvvuri, V. R., Baumgartner, A. M., Goldman, J. D., Ertekin-Taner, N., Funk, C. C., Price, N. D., Rappaport, N., & Hadlock, J. J. (2022). Risk factors for severe COVID-19 differ by age for hospitalized adults. Scientific Reports, 12(1), 6568. https://doi.org/10.1038/s41598-022-10344-3 Cite Download
Fecho, K., Thessen, A. E., Baranzini, S. E., Bizon, C., Hadlock, J. J., Huang, S., Roper, R. T., Southall, N., Ta, C., Watkins, P. B., Williams, M. D., Xu, H., Byrd, W., Dančík, V., Duby, M. P., Dumontier, M., Glusman, G., Harris, N. L., Hinderer, E. W., … Biomedical Data Translator Consortium. (2022). Progress toward a universal biomedical data translator. Clinical and Translational Science. https://doi.org/10.1111/cts.13301 Cite
Molani, S., Baumgartner, A. M., Hwang, Y. M., Duvvuri, V. R., Goldman, J. D., & Hadlock, J. J. (2022). Time to reinfection and vaccine breakthrough SARS-CoV-2 infections: a retrospective cohort study. 2022.02.07.22270613. https://www.medrxiv.org/content/10.1101/2022.02.07.22270613v1 Cite Download
Baumgartner, A., Molani, S., Wei, Q., & Hadlock, J. (2022). Imputing Missing Observations with Time Sliced Synthetic Minority Oversampling Technique. ArXiv:2201.05634 [Physics, q-Bio, Stat]. http://arxiv.org/abs/2201.05634 Cite Download
Piekos, S. N., Roper, R. T., Hwang, Y. M., Sorensen, T., Price, N. D., Hood, L., & Hadlock, J. J. (2022). The effect of maternal SARS-CoV-2 infection timing on birth outcomes: a retrospective multicentre cohort study. The Lancet. Digital Health, 4(2), e95–e104. https://doi.org/10.1016/S2589-7500(21)00250-8 Cite Download
Su, Y., Yuan, D., Chen, D. G., Ng, R. H., Wang, K., Choi, J., Li, S., Hong, S., Zhang, R., Xie, J., Kornilov, S. A., Scherler, K., Pavlovitch-Bedzyk, A. J., Dong, S., Lausted, C., Lee, I., Fallen, S., Dai, C. L., Baloni, P., … Heath, J. R. (2022). Multiple Early Factors Anticipate Post-Acute COVID-19 Sequelae. Cell, 0(0). https://doi.org/10.1016/j.cell.2022.01.014 Cite Download
Diaz, G. A., Christensen, A. B., Pusch, T., Goulet, D., Chang, S.-C., Grunkemeier, G. L., McKelvey, P. A., Robicsek, A., French, T., Parsons, G. T., Doherty, G., Laurenson, C., Roper, R., Hadlock, J., Cover, C. J., Footer, B., Robinson, P., Micikas, M., Marfori, J. E., … Goldman, J. D. (2021). Remdesivir and Mortality in Patients With Coronavirus Disease 2019. Clinical Infectious Diseases, ciab698. https://doi.org/10.1093/cid/ciab698 Cite Download
Jiang, Y., Duffy, F., Hadlock, J., Raappana, A., Styrchak, S., Beck, I., Mast, F. D., Miller, L. R., Chour, W., Houck, J., Armistead, B., Duvvuri, V. R., Yeung, W., Haglund, M., Wallner, J., Wallick, J. A., Hardy, S., Oldroyd, A., Ko, D., … Harrington, W. E. (2021). Angiotensin II receptor I auto-antibodies following SARS-CoV-2 infection. PloS One, 16(11), e0259902. https://doi.org/10.1371/journal.pone.0259902 Cite Download
Lee, J. W., Su, Y., Baloni, P., Chen, D., Pavlovitch-Bedzyk, A. J., Yuan, D., Duvvuri, V. R., Ng, R. H., Choi, J., Xie, J., Zhang, R., Murray, K., Kornilov, S., Smith, B., Magis, A. T., Hoon, D. S. B., Hadlock, J. J., Goldman, J. D., Price, N. D., … Heath, J. R. (2021). Integrated analysis of plasma and single immune cells uncovers metabolic changes in individuals with COVID-19. Nature Biotechnology. https://doi.org/10.1038/s41587-021-01020-4 Cite Download
Lee, J. Y., Molani, S., Fang, C., Jade, K., O’Mahony, D. S., Kornilov, S. A., Mico, L. T., & Hadlock, J. J. (2021). Ambulatory Risk Models for the Long-Term Prevention of Sepsis: Retrospective Study. JMIR Medical Informatics, 9(7), e29986. https://doi.org/10.2196/29986 Cite Download
Su, Y., Yuan, D., Chen, D. G., Wang, K., Choi, J., Dai, C. L., Hong, S., Zhang, R., Xie, J., Li, S., Scherler, K., Pavlovitch-Bedzyk, A. J., Dong, S., Lausted, C., Ng, R. H., Lee, I., Fallen, S., Kornilov, S. A., Baloni, P., … Heath, J. R. (2021). Heterogeneous immunological recovery trajectories revealed in post-acute COVID-19. MedRxiv, 2021.03.19.21254004. https://doi.org/10.1101/2021.03.19.21254004 Cite Download
Dai, C. L., Kornilov, S. A., Roper, R. T., Cohen-Cline, H., Jade, K., Smith, B., Heath, J. R., Diaz, G., Goldman, J. D., Magis, A. T., & Hadlock, J. J. (2021). Characteristics and Factors Associated with COVID-19 Infection, Hospitalization, and Mortality Across Race and Ethnicity. Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America. https://doi.org/10.1093/cid/ciab154 Cite Download
Goldman, J. D., Wang, K., Röltgen, K., Nielsen, S. C. A., Roach, J. C., Naccache, S. N., Yang, F., Wirz, O. F., Yost, K. E., Lee, J.-Y., Chun, K., Wrin, T., Petropoulos, C. J., Lee, I., Fallen, S., Manner, P. M., Wallick, J. A., Algren, H. A., Murray, K. M., … Heath, J. R. (2020). Reinfection with SARS-CoV-2 and Failure of Humoral Immunity: a case report (p. 2020.09.22.20192443). https://www.medrxiv.org/content/10.1101/2020.09.22.20192443v1 Cite Download
Su, Y., Chen, D., Yuan, D., Lausted, C., Choi, J., Dai, C. L., Voillet, V., Duvvuri, V. R., Scherler, K., Troisch, P., Baloni, P., Qin, G., Smith, B., Kornilov, S. A., Rostomily, C., Xu, A., Li, J., Dong, S., Rothchild, A., … Heath, J. R. (2020). Multi-omics resolves a sharp disease-state shift between mild and moderate COVID-19. Cell, S0092867420314446. https://doi.org/10.1016/j.cell.2020.10.037 Cite Download
Fecho, K., Ahalt, S. C., Arunachalam, S., Champion, J., Chute, C. G., Davis, S., Gersing, K., Glusman, G., Hadlock, J., Lee, J., Pfaff, E., Robinson, M., Sid, E., Ta, C., Xu, H., Zhu, R., Zhu, Q., Peden, D. B., & Biomedical Data Translator Consortium. (2019). Sex, obesity, diabetes, and exposure to particulate matter among patients with severe asthma: Scientific insights from a comparative analysis of open clinical data sources during a five-day hackathon. Journal of Biomedical Informatics, 100, 103325. https://doi.org/10.1016/j.jbi.2019.103325 Cite
Ahalt, S. C., Chute, C. G., Fecho, K., Glusman, G., Hadlock, J., Taylor, C. O., Pfaff, E. R., Robinson, P. N., Solbrig, H., Ta, C., Tatonetti, N., Weng, C., & Biomedical Data Translator Consortium. (2019). Clinical Data: Sources and Types, Regulatory Constraints, Applications. Clinical and Translational Science. https://doi.org/10.1111/cts.12638 Cite Download
Robinson, M., Hadlock, J., Yu, J., Khatamian, A., Aravkin, A. Y., Deutsch, E. W., Price, N. D., Huang, S., & Glusman, G. (2018). Fast and simple comparison of semi-structured data, with emphasis on electronic health records. BioRxiv, 293183. https://doi.org/10.1101/293183 Cite Download
