Using machine learning to predict the risk of developing hypertensive disorders of pregnancy using a contemporary nulliparous cohort

Authors: Schor, Jonathan S., Kadambi, Adesh, Fulcher, Isabel, Venkatesh, Kartik K., Clapp, Mark A., Ebrahim, Senan, Ebrahim, Ali, Wen, Timothy

Source: In AJOG Global Reports November 2024 4(4)

Constant Sub-second Cycling between Representations of Possible Futures in the Hippocampus

Authors: Kay, Kenneth, Chung, Jason E., Sosa, Marielena, Schor, Jonathan S., Karlsson, Mattias P., Larkin, Margaret C., Liu, Daniel F., Frank, Loren M.

Source: In Cell 6 February 2020 180(3):552-567

Predicting the risk of gestational diabetes using clinical data with machine learning: a predictive model study

Authors: Kadambi, Adesh, Fulcher, Isabel, Venkatesh, Kartik, Schor, Jonathan S., Clapp, Mark A., Wen, Timothy

Source: In American Journal of Obstetrics & Gynecology MFM July 2023 5(7)

Multiple stimulation parameters influence efficacy of deep brain stimulation in parkinsonian mice

Authors: Schor, Jonathan S., Nelson, Alexandra B.

Source: Journal of clinical investigation. 129(9):3833-3833

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