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Alice S Tang

Showing results (11-20 of 22) with videos related to

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Nature Communications|February 4, 2022
Deep phenotyping of Alzheimer's disease leveraging electronic medical records identifies sex-specific clinical associationsAlice S Tang, Tomiko Oskotsky, Shreyas Havaldar, et al.
Medrxiv : the Preprint Server for Health Sciences|November 19, 2025
Characterizing Dementia Phenotypes from Unstructured EHR Notes with Generative AI and Interpretable Machine LearningAlice S Tang, Billy Z D Zeng, Katherine P Rankin, et al.
Journal of Biomedical Informatics|April 3, 2025
Identifying progression subphenotypes of Alzheimer's disease from large-scale electronic health records with machine learningManqi Zhou, Alice S Tang, Hao Zhang, et al.
Nature Aging|February 22, 2024
Leveraging electronic health records and knowledge networks for Alzheimer's disease prediction and sex-specific biological insightsAlice S Tang, Katherine P Rankin, Gabriel Cerono, et al.
Iscience|March 21, 2024
Identifying therapeutic candidates for endometriosis through a transcriptomics-based drug repositioning approachTomiko T Oskotsky, Arohee Bhoja, Daniel Bunis, et al.
Iscience|February 9, 2026
Leveraging health records to identify diagnoses associated with recurrent pregnancy loss across two medical centersJacquelyn Roger, Feng Xie, Jean M Costello, et al.
JAMIA Open|September 30, 2024
VMAP: Vaginal Microbiome Atlas during PregnancyAntonio Parraga-Leo, Tomiko T Oskotsky, Boris Oskotsky, et al.
Science Translational Medicine|February 15, 2023
Data-driven longitudinal characterization of neonatal health and morbidityDavide De Francesco, Jonathan D Reiss, Jacquelyn Roger, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 18, 2024
Advancements in Immunity and Dementia Research: Highlights from the 2023 AAIC Advancements: Immunity ConferenceCourtney M Kloske, Simin Mahinrad, Christopher J Barnum, et al.
Cell Reports. Medicine|December 22, 2023
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth researchJonathan L Golob, Tomiko T Oskotsky, Alice S Tang, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Nature Communications|February 4, 2022
Deep phenotyping of Alzheimer's disease leveraging electronic medical records identifies sex-specific clinical associationsAlice S Tang, Tomiko Oskotsky, Shreyas Havaldar, et al.
Medrxiv : the Preprint Server for Health Sciences|November 19, 2025
Characterizing Dementia Phenotypes from Unstructured EHR Notes with Generative AI and Interpretable Machine LearningAlice S Tang, Billy Z D Zeng, Katherine P Rankin, et al.
Journal of Biomedical Informatics|April 3, 2025
Identifying progression subphenotypes of Alzheimer's disease from large-scale electronic health records with machine learningManqi Zhou, Alice S Tang, Hao Zhang, et al.
Nature Aging|February 22, 2024
Leveraging electronic health records and knowledge networks for Alzheimer's disease prediction and sex-specific biological insightsAlice S Tang, Katherine P Rankin, Gabriel Cerono, et al.
Iscience|March 21, 2024
Identifying therapeutic candidates for endometriosis through a transcriptomics-based drug repositioning approachTomiko T Oskotsky, Arohee Bhoja, Daniel Bunis, et al.
Iscience|February 9, 2026
Leveraging health records to identify diagnoses associated with recurrent pregnancy loss across two medical centersJacquelyn Roger, Feng Xie, Jean M Costello, et al.
JAMIA Open|September 30, 2024
VMAP: Vaginal Microbiome Atlas during PregnancyAntonio Parraga-Leo, Tomiko T Oskotsky, Boris Oskotsky, et al.
Science Translational Medicine|February 15, 2023
Data-driven longitudinal characterization of neonatal health and morbidityDavide De Francesco, Jonathan D Reiss, Jacquelyn Roger, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 18, 2024
Advancements in Immunity and Dementia Research: Highlights from the 2023 AAIC Advancements: Immunity ConferenceCourtney M Kloske, Simin Mahinrad, Christopher J Barnum, et al.
Cell Reports. Medicine|December 22, 2023
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth researchJonathan L Golob, Tomiko T Oskotsky, Alice S Tang, et al.
Pageof 3