Oskotsky, Tomiko

Deep posteromedial cortical rhythm in dissociation

Vesuna, S., Kauvar, I. V., Richman, E., Gore, F., Oskotsky, T., Sava-Segal, C., Luo, L., Malenka, R. C., Henderson, J. M., Nuyujukian, P., et al. (2020) · Nature

Neural dynamics and brain functionMemory and Neural Mechanisms

Cited by 281

Experimental and real-world evidence supporting the computational repurposing of bumetanide for APOE4-related Alzheimer’s disease

Taubes, A., Nova, P., Zalocusky, K. A., Kosti, I., Bicak, M., Zilberter, M. Y., Hao, Y., Yoon, S. Y., Oskotsky, T., Pineda, S., et al. (2021) · Nature Aging

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 118

Harnessing EHR data for health research

Tang, A. S., Woldemariam, S. R., Miramontes, S., Norgeot, B., Oskotsky, T. T., & Sirota, M. (2024) · Nature Medicine

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 87

Leveraging electronic health records and knowledge networks for Alzheimer's disease prediction and sex-specific biological insights

Tang, A. S., Rankin, K. P., Cerono, G., Miramontes, S., Mills, H., Roger, J., Zeng, B., Nelson, C., Soman, K., Woldemariam, S., et al. (2024) · Nature Aging

Dementia and Cognitive Impairment ResearchMachine Learning in Healthcare

Cited by 86

Sex-Specific Cross Tissue Meta-Analysis Identifies Immune Dysregulation in Women With Alzheimer’s Disease

Paranjpe, M. D., Belonwu, S., Wang, J. K., Oskotsky, T., Gupta, A., Taubes, A., Zalocusky, K. A., Paranjpe, I., Glicksberg, B. S., Huang, Y., et al. (2021) · Frontiers in Aging Neuroscience

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 49

Deep phenotyping of Alzheimer’s disease leveraging electronic medical records identifies sex-specific clinical associations

Tang, A. S., Oskotsky, T., Havaldar, S., Mantyh, W. G., Bicak, M., Solsberg, C. W., Woldemariam, S., Zeng, B., Hu, Z., Oskotsky, B., et al. (2022) · Nature Communications

Dementia and Cognitive Impairment ResearchMachine Learning in Healthcare

Cited by 45

Real world perspectives on endometriosis disease phenotyping through surgery, omics, health data, and artificial intelligence

Nezhat, C. R., Oskotsky, T. T., Robinson, J. F., Fisher, S. J., Tsuei, A., Liu, B., Irwin, J. C., Gaudilliere, B., Sirota, M., Stevenson, D. K., et al. (2025) · npj Women s Health

Endometriosis Research and TreatmentEndometrial and Cervical Cancer Treatments

Cited by 25