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The underlying hypothesis in Dr. Sarkar’s research is that the integration of unlinked data leads to new information that can be used to inform knowledge about underpinning phenomena in biology and health. His current research includes harnessing data for supporting comparative genomic and phenomic studies of complex disease, including the development of models to predict trajectories of complex conditions, such as pregnancy and its complications. Dr. Sarkar’s work has been funded by sources such as the National Science Foundation, the Ellison Medical Foundation, the Medical Library Association, the Centers for Disease Control and Prevention, the US Department of Veterans Affairs, and the National Institutes of Health. Dr. Sarkar is an elected Fellow of the American College of Medical Informatics, and is a member of the Board of Directors and Treasurer of the American Medical Informatics Association.
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论文共 216 篇作者统计合作学者相似作者
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Methods in molecular biology (Clifton, N.J.) (2024): 335-345
bioRxiv : the preprint server for biology (2024)
APPLIED CLINICAL INFORMATICSno. 01 (2024): 10-25
Journal of clinical psychologyno. 11 (2023): 2542-2555
Obstetrics & Gynecologyno. 5S (2023): 28S-28S
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Chestno. 5 (2023): 1023-1025
Sudheesha Perera,Cynthia Maung, Sophia Hla, Hsa Moo Moo, Saw Than Lwin, Catherine Bruck, Terrence Smith, Menno Bakker, Cassim Akhoon,Indra Neil Sarkar
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