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.

Building personalized machine learning models using real-time monitoring data to predict ideographic suicidal thoughts

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-Brunyak, 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.
Nature Mental Health (2024)

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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)

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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)

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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)

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