Graphical abstract for Expecting the Unexpected: Predicting Panic Attacks from Mood, Twitter, and Apple Watch Data
Designed and created by Bryn Loftness using Canva.
Layout of the KID Study study protocol, administration protocol, and two snapshots from the ChAMP app.
Graphical Abstract for 'Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response framework'. Artwork for graphical abstract completed by Bryn Loftness using Biorender.com.
'Analyzing the Impact of a Real-life Outbreak Simulator on Pandemic Mitigation: an Epidemiological Modeling Study' was selected as the cover feature article in Cell Patterns Volume 3, Issue 8.
'Transmission from vaccinated individuals in a large SARS-CoV-2 Delta variant outbreak' was selected as the cover feature article in Cell Volume 185, Issue 3.
McGinnis, E. W*, Loftness, B. C., Lunna, S., Berman, I., Bagdon, S., Lewis, G., Arnold, M., Danforth, C. M., Dodds, P. S., Price, M., Copeland, W. L., McGinnis, R. S. (2024). Expecting the Unexpected: Predicting Panic Attacks from Mood, Twitter, and Apple Watch Data. IEEE Open Journal of Engineering in Medicine and Biology. https://doi.org/10.1109/OJEMB.2024.3354208
Cohen J. G.*, Loftness, B. C., Douglas A. S., E. W., & McGinnis, R. S. (2023). Predicting the Presence of Internalizing Disorders and ADHD in Children from Postural Sway Features. 2023 IEEE Body Sensor Networks Conference (BSN). doi pending.
Loftness, B. C.*, Rizzo, D.M., Halvorson-Phelan, J., O'Leary, A., Lunna, S., Bradshaw, C., Brown, A-J., Cheney, N., McGinnis, E. W., & McGinnis, R. S. (2023). Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning. 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). https://doi.org/10.1101/2023.02.24.23286417
McGinnis, E. W.*, Lunna, S., Berman, I., Loftness, B.C., Bagdon, S., Danforth, C.M., Price, M., Copeland, W.E., McGinnis, R. S. (2023). Discovering Digital Biomarkers of Panic Attack Risk in Consumer Wearables Data. medRxiv. https://doi.org/10.1101/2023.03.01.23286647
Loftness, B. C.*, Bernstein, I., McBride, C.A., Cheney, N., McGinnis, E. W., & McGinnis, R. S. (2023). Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy. 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). https://doi.org/10.1101/2023.02.28.23286590
Loftness, B. C.*, Halvorson-Phelan, J., O'Leary, A., Bradshaw, C., Lunna, S., Berman, I., Torous, J., Copeland, W.L., Cheney, N., McGinnis, E. W., & McGinnis, R. S. (2023). The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. IEEE Journal of Biomedical and Health Informatics. https://doi.org/ 10.1109/JBHI.2023.3337649
Meyer, B. M.*, Depetrillo, P., Franco, J., Donahue, N., Fox, S. R., O’Leary, A., Loftness, B. C., Gurchiek, R. D., Buckley, M., Solomon, A. J., Ng, S. K., Cheney, N., Ceruolo, M., & McGinnis, R. S. (2022). How much data is enough? A reliable methodology to examine longterm wearable data acquisition in gait and postural sway. Sensors, 22(18), 6982. https://doi.org/10.3390/s22186982
Petros, B. A.*, Paull, J. S.*, Tomkins-Tinch, C. H.*, Loftness, B. C.*, DeRuff, K. C., Nair, P., Gionet, G. L., Benz, A., Brock-Fisher, T., Hughes, M., Yurkovetskiy, L., Mulaudzi, S., Leenerman, E., Nyalile, T., Moreno, G. K., Specht, I., Sani, K., Adams, G., Babet, S. V., … Sabeti, P. C. (2022). Multimodal surveillance of SARS-COV-2 at a university enables development of a robust outbreak response framework. Med. https://doi.org/10.1016/j.medj.2022.09.003
Loftness, B. C.*, Halvorson-Phelan, J., O'Leary, A., Cheney, N., McGinnis, E. W., & McGinnis, R. S. (2022). UVM Kid Study: Identifying Multimodal features and Optimizing Wearable Instrumentation to detect child anxiety. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). https://doi.org/10.1109/embc48229.2022.9871090
Specht, I.*, Sani, K., Loftness, B. C., Hoffman, C., Gionet, G., Bronson, A., Marshall, J., Decker, C., Bailey, L., Siyanbade, T., Kemball, M., Pickett, B. E., Hanage, W. P., Brown, T., Sabeti, P. C., & Colubri, A. (2022). Analyzing the impact of a real-life outbreak simulator on pandemic mitigation: An Epidemiological Modeling Study. Patterns, 3(8), 100572. https://doi.org/10.1016/j.patter.2022.100572
Siddle, K. J.*, Krasilnikova, L. A.*, Moreno, G. K.*, Schaffner, S. F.*, Vostok, J., Fitzgerald, N. A., Lemieux, J. E., Barkas, N., Loreth, C., Specht, I., Tomkins-Tinch, C. H., Paull, J. S., Schaeffer, B., Taylor, B. P., Loftness, B., Johnson, H., Schubert, P. L., Shephard, H. M., Doucette, M., … Sabeti, P. C. (2022). Transmission from vaccinated individuals in a large SARS-COV-2 delta variant outbreak. Cell, 185(3). https://doi.org/10.1016/j.cell.2021.12.027