| Mortality risk among patients with COVID-19 prescribed selective serotonin reuptake inhibitor antidepressants T Oskotsky, I Marić, A Tang, B Oskotsky, RJ Wong, N Aghaeepour, ... JAMA network open 4 (11), e2133090-e2133090, 2021 | 128 | 2021 |
| Transitioning to telehealth during the COVID-19 pandemic: patient perspectives and attendance at an HIV clinic in San Francisco IC Auchus, K Jaradeh, A Tang, J Marzan, B Boslett AIDS Patient Care and STDs 35 (7), 249-254, 2021 | 47 | 2021 |
| A robust and interpretable end-to-end deep learning model for cytometry data Z Hu, A Tang, J Singh, S Bhattacharya, AJ Butte Proceedings of the National Academy of Sciences 117 (35), 21373-21380, 2020 | 46 | 2020 |
| The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information JH Morris, K Soman, RE Akbas, X Zhou, B Smith, EC Meng, CC Huang, ... Bioinformatics 39 (2), btad080, 2023 | 27 | 2023 |
| Sex-stratified single-cell RNA-Seq analysis identifies sex-specific and cell type-specific transcriptional responses in Alzheimer’s disease across two brain regions SA Belonwu, Y Li, D Bunis, AA Rao, CW Solsberg, A Tang, ... Molecular neurobiology, 1-18, 2022 | 26 | 2022 |
| Rapid deployment of SARS-CoV-2 testing: The CLIAHUB ED Crawford, I Acosta, V Ahyong, EC Anderson, S Arevalo, D Asarnow, ... PLoS pathogens 16 (10), e1008966, 2020 | 23 | 2020 |
| Deep phenotyping of Alzheimer’s disease leveraging electronic medical records identifies sex-specific clinical associations AS Tang, T Oskotsky, S Havaldar, WG Mantyh, M Bicak, CW Solsberg, ... Nature communications 13 (1), 675, 2022 | 19 | 2022 |
| Data-driven longitudinal characterization of neonatal health and morbidity D De Francesco, JD Reiss, J Roger, AS Tang, AL Chang, M Becker, ... Science Translational Medicine 15 (683), eadc9854, 2023 | 17 | 2023 |
| Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research JL Golob, TT Oskotsky, AS Tang, A Roldan, V Chung, CWY Ha, RJ Wong, ... Cell Reports Medicine 5 (1), 2024 | 15 | 2024 |
| Translational bioinformatics to enable precision medicine for all: elevating equity across molecular, clinical, and digital realms A Tang, S Woldemariam, J Roger, M Sirota Yearbook of Medical Informatics 31 (01), 106-115, 2022 | 10 | 2022 |
| Mortality risk among patients with COVID-19 prescribed selective serotonin reuptake inhibitor antidepressants. JAMA Netw Open. 2021; 4: e2133090 T Oskotsky, I Maric, A Tang, B Oskotsky, RJ Wong, N Aghaeepour | 10 | 2021 |
| Similarity metric learning for 2D to 3D registration of brain vasculature A Tang, F Scalzo International Symposium on Visual Computing, 3-12, 2016 | 8 | 2016 |
| Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students T Oskotsky, R Bajaj, J Burchard, T Cavazos, I Chen, WT Connell, S Eaneff, ... PLoS computational biology 18 (1), e1009719, 2022 | 7 | 2022 |
| Mortality risk among patients with COVID-19 prescribed selective serotonin reuptake inhibitor antidepressants. JAMA Network Open 4 (11): e2133090 T Oskotsky, I Marić, A Tang, B Oskotsky, RJ Wong, N Aghaeepour, ... | 7 | 2021 |
| Robust harmonization of microbiome studies by phylogenetic scaffolding with MaLiAmPi SS Minot, B Garb, A Roldan, A Tang, T Oskotsky, C Rosenthal, ... bioRxiv, 2022.07. 26.501561, 2022 | 6 | 2022 |
| Personalizing routine lab tests with machine learning A Tang, T Oskotsky, M Sirota Nature Medicine 27 (9), 1514-1515, 2021 | 4 | 2021 |
| Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights AS Tang, KP Rankin, G Cerono, S Miramontes, H Mills, J Roger, B Zeng, ... Nature Aging, 1-17, 2024 | 3 | 2024 |
| Antidepressant use during pregnancy and the risk of preterm birth–a cohort study G Amit, C Yanover, M Bivas-Benita, I Girshovitz, T Helbitz, T Sudry, V Bar, ... npj Women's Health 2 (1), 5, 2024 | 3 | 2024 |
| MaLiAmPi enables generalizable and taxonomy-independent microbiome features from technically diverse 16S-based microbiome studies SS Minot, B Garb, A Roldan, AS Tang, TT Oskotsky, C Rosenthal, ... Cell Reports Methods 3 (11), 2023 | 3 | 2023 |
| VMAP: vaginal microbiome atlas during pregnancy A Parraga-Leo, TT Oskotsky, B Oskotsky, C Wibrand, A Roldan, A Tang, ... medRxiv, 2023 | 3 | 2023 |
Tomiko OskotskyUCSF在 ucsf.edu 的电子邮件经过验证
