Research we've supported
These are the published papers from completed studies that relied on our technology in their methodology. We're proud to support efforts in these critical research areas and are eager to support additional psychiatric and behavioral research initiaves.
Idiographic Prediction of Suicidal Thoughts: Building Personalized Machine Learning Models with Real-Time Monitoring Data
Wang, S. B., Van Genugten, R. D. I., Yacoby, Y., Pan, W., Bentley, K. H., Bird, S. A., Buonopane, R. J., Christie, A., Daniel, M., DeMarco, D., Haim, A., Follet, L., Fortgang, R. G., Kelly, F., Kleiman, E. M., Millner, A. J., Obi-Obasi, O., Onnela, J. P., Ramlal, N., Ricard, J. R., Smoller, J. W., Tambedou, T., Zuromski, K. L., & Nock, M. K.
PsyArXiv (2023)
PsyArXiv (2023)
Effect of frequent assessment of suicidal thinking on its incidence and severity: high-resolution real-time monitoring study
Coppersmith, D. D., Fortgang, R. G., Kleiman, E. M., Millner, A. J., Yeager, A. L., Mair, P., & Nock, M. K.
The British Journal of Psychiatry (2021)
The British Journal of Psychiatry (2021)
Increase in Suicidal Thinking During COVID-19
Fortgang, R. G., Wang, S. B., Millner, A. J., Reid-Russell, A., Beukenhorst, A. L., Kleiman, E. M., Bentley, K. H., Zuromski, K. L., Al-Suwaidi, M., Bird, S. A., Buonopane, R., DeMarco, D., Haim, A., Joyce, V. W., Kastman, E. K., Kilbury, E., Lee, H. I. S., Mair, P., Nash, C. C., Onnela, J. P., Smoller, J. W., & Nock, M. K.
Clinical Psychological Science (2021)
Clinical Psychological Science (2021)