S
Siddhant Dogra
Researcher at New York University
Publications - 29
Citations - 915
Siddhant Dogra is an academic researcher from New York University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 10, co-authored 18 publications receiving 522 citations. Previous affiliations of Siddhant Dogra include University of Michigan.
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Journal ArticleDOI
Mutant Isocitrate Dehydrogenase Inhibitors as Targeted Cancer Therapeutics.
Danielle Golub,Nishanth Iyengar,Siddhant Dogra,Taylor Wong,Devin Bready,Karen Tang,Aram S. Modrek,Dimitris G. Placantonakis +7 more
TL;DR: The molecular pathways and oncogenic consequences associated with mut IDH with a particular emphasis on glioma and AML are summarized, and the development and preclinical testing of mutIDH inhibitors are systematically reviewed.
Journal ArticleDOI
COVID-19 related neuroimaging findings: A signal of thromboembolic complications and a strong prognostic marker of poor patient outcome.
Rajan Jain,Matthew Young,Siddhant Dogra,Helena Kennedy,Vinh Nguyen,Simon Jones,Seda Bilaloglu,Katherine Hochman,Eytan Raz,Steven L. Galetta,Leora Horwtiz +10 more
TL;DR: A retrospective cohort study of patients admitted to a major healthcare system in New York City between March 1, 2020 and April 13, 2020 demonstrates acute stroke is the most common neuroimaging finding among hospitalized COVID-19 patients.
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Hemorrhagic stroke and anticoagulation in COVID-19.
Siddhant Dogra,Rajan Jain,Meng Cao,Seda Bilaloglu,David Zagzag,Sarah Hochman,Ariane Lewis,Kara Melmed,Katherine Hochman,Leora I. Horwitz,Steven L. Galetta,Jeffrey S. Berger +11 more
TL;DR: Anticoagulation therapy may be considered in patients with COVID-19 though the risk of ICH should be taken into account when developing a treatment regimen.
Journal ArticleDOI
Cerebral Microbleeds and Leukoencephalopathy in Critically Ill Patients With COVID-19.
Shashank Agarwal,Rajan Jain,Siddhant Dogra,Penina Krieger,Ariane Lewis,Vinh Nguyen,Kara Melmed,Steven Galetta +7 more
TL;DR: The presence of leukoencephalopathy and/or cerebral microbleeds is associated with a critical illness, increased mortality, and worse functional outcome in patients with COVID-19.
Journal ArticleDOI
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
Farah E. Shamout,Yiqiu Shen,Nan Wu,Aakash Kaku,Jungkyu Park,Taro Makino,Taro Makino,Stanisław Jastrzębski,Stanisław Jastrzębski,Jan Witowski,Duo Wang,Ben Zhang,Siddhant Dogra,Meng Cao,Narges Razavian,Narges Razavian,David Kudlowitz,Lea Azour,William Moore,Yvonne W. Lui,Yindalon Aphinyanaphongs,Carlos Fernandez-Granda,Krzysztof J. Geras,Krzysztof J. Geras +23 more
TL;DR: In this article, the authors proposed a data-driven approach for automatic prediction of deterioration risk using a deep neural network that learns from chest X-ray images and a gradient boosting model.