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个人简介
Research Interests
antidepressive agents; artificial intelligence; bioinformatics; bipolar disorder; citalopram; depression; evil robots; fluoxetine; gender equity; genetics; informatics; machine learning; major depressive disorder; pinball; serotonin uptake inhibitors; suicide; treatment-resistant depression
Dr. Perlis's research is focused on identifying predictors of treatment response in brain diseases, and using these biomarkers to develop novel treatments. He directs two complementary laboratory efforts, one focused on patient-derived cellular models and one applying machine learning to large clinical databases. These two programs converge in the MGH NeuroBank, one of the largest cellular biobanks in the world for the study of neurodevelopmental and neurodegenerative disorders. The NeuroBank spans more than 400 cell lines associated with detailed clinical phenotypic assessment and links to electronic health records.
研究兴趣
论文共 673 篇作者统计合作学者相似作者
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Translational Psychiatryno. 1 (2024): 1-9
Neuropsychopharmacologypp.1-5, (2024)
Mark A. Clapp, Siguo Li,Kaitlyn E. James, Emily Reiff, Sarah E. Little,Thomas H. McCoy,Roy H. Perlis,Anjali J. Kaimal
American Journal of Obstetrics and Gynecologyno. 1 (2024): S512
medRxiv : the preprint server for health sciences (2024)
Dong Sun Oh,Eunha Kim, Guangqing Lu,Rachelly Normand,Lydia L Shook,Amanda Lyall, Olyvia Jasset,Stepan Demidkin, Emily Gilbert,Joon Kim,Babatunde Akinwunmi,Jessica Tantivit,
medRxiv : the preprint server for health sciences (2024)
JAMA network openno. 2 (2024): e2356098-e2356098
American Journal of Obstetrics and Gynecologyno. 1 (2024): S599
American journal of perinatology (2024)
American Journal of Obstetrics and Gynecologyno. 1 (2024): S599-S600
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