Treatment Development
Data-Driven Personalized Treatment Development
At Vitalytic, we have developed a data-driven treatment development framework. We identify brain biomarkers associated with a disorder, identify how treatments impact those biomarkers, and identify optimal, personalized treatments.
Treatment Development
Study Design and Data Collection
We advise on study design and data collection to enable the development of more robust machine learning models.
Biomarker Identification
We identify novel biomarkers using our previously described methodology or leverage existing biomarkers from the scientific literature that are related to a disorder or cognitive performance metric.
Effect Quantification
We quantify the effects of treatment upon the biomarkers most related to the disorder or cognitive performance metric.
Treatment Optimization
After identifying the effects of treatment upon key brain biomarkers, we leverage advanced machine learning techniques to optimize treatment.
Example Publications
- Sendi, M. S. E., Inman, C. S., Bijanki, K. R., Blanpain, L., Park, J. K., Hamann, S., et al. (2021). Identifying the neurophysiological effects of memory-enhancing amygdala stimulation using interpretable machine learning. Brain Stimul.14, 1511–1519. doi:10.1016/j.brs.2021.09.009.
- Sendi, M. S. E., Cole, E. R., Piallat, B., Ellis, C. A., Eggers, T. E., Laxpati, N. G., et al. (2024). Refining Brain Stimulation Therapies : An Active Learning Approach to Personalization. bioRxiv. doi:10.1101/2024.09.02.610880.
- Dini, H., Sendi, M.S.E., Sui, J., Fu, Z., Espinoza, R., Narr, K.L., Qi, S., Abbott, C.C., van Rooij, S.J.H., Riva-Posse, P., Bruni, L.E., Mayberg, H.S., & Calhoun, V.D. (2021). Dynamic functional connectivity predicts treatment response to electroconvulsive therapy in major depressive disorder. Frontiers in Human Neuroscience, 15, 689488. DOI: 10.3389/fnhum.2021.689488.
- Sendi, M.S.E., Waters, A.C., Tiruvadi, V., Riva-Posse, P., Crowell, A., Isbaine, F., Gale, J.T., Choi, K.S., Gross, R.E., Mayberg, H.S., & Mahmoudi, B. (2021). Intraoperative neural signals predict rapid antidepressant effects of deep brain stimulation. Translational Psychiatry, 11(1), 551. DOI: 10.1038/s41398-021-01669-0.
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