Michelle Wang, PharmD, PhD
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| Title(s) | Assistant Adjunct Professor, Computational Health Scienc |
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| School | School of Medicine |
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| Address | 1700 4th Street
San Francisco CA 94158
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ORCID
.gif) | 0000-0002-3207-1490  |
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| vCard | Download vCard |
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Biography
| University of Washington, Seattle, WA | BS | 06/2010 | Chemistry |
| Ohio State University, Columbus, OH | PharmD | 05/2014 | Pharmacy |
| University of California, San Francisco, San Francisco, CA | PhD | 09/2022 | Pharmaceutical Sciences and Pharmacogenomics |
Overview
Michelle's research group is interested in developing AI-driven methods that integrate multi-modal, real-world data to innovate therapeutic strategies for diverse populations. Her research bridges medical informatics, pharmaceutical sciences, regulatory sciences, and clinical pharmacy, focusing on personalized therapeutic effects, precision drug discovery, and AI solutions to advance clinical care for cancers, inflammatory diseases, and cardiometabolic conditions.
ORNG Applications
Bibliographic
Altmetrics Details
PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media.
(Note that publications are often cited in additional ways that are not shown here.)
Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication.
Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication.
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Artificial Intelligence to Diagnose Complications of Diabetes. J Diabetes Sci Technol. 2025 Jan; 19(1):246-264.
Ayers AT, Ho CN, Kerr D, Cichosz SL, Mathioudakis N, Wang M, Najafi B, Moon SJ, Pandey A, Klonoff DC. PMID: 39578435; PMCID: PMC11688687.
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PubMed Mentions: Fields:
Translation:
Humans
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PubMed Mentions:
9 Fields:
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Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing. Lancet Digit Health. 2024 Mar; 6(3):e222-e229.
Miao BY, Sushil M, Xu A, Wang M, Arneson D, Berkley E, Subash M, Vashisht R, Rudrapatna V, Butte AJ. PMID: 38395542; PMCID: PMC11074920.
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PubMed Mentions:
2 Fields:
Translation:
Humans
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Evaluating Survival After Hospitalization Due to Immune-Related Adverse Events From Checkpoint Inhibitors. Oncologist. 2023 10 03; 28(10):e950-e959.
Silverstein J, Wright F, Wang M, Young A, Kim D, De Dios K, Brondfield S, Quandt Z. PMID: 37335906; PMCID: PMC10546826.
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PubMed Mentions:
3 Fields:
Translation:
Humans
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ALK Inhibitor Treatment Patterns and Outcomes in Real-World Patients with ALK-Positive Non-Small-Cell Lung Cancer: A Retrospective Cohort Study. Target Oncol. 2023 Jul; 18(4):571-583.
Wang M, Slatter S, Sussell J, Lin CW, Ogale S, Datta D, Butte AJ, Bazhenova L, Rudrapatna VA. PMID: 37341856; PMCID: PMC10345061.
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PubMed Mentions:
1 Fields:
Translation:
Humans
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Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data. J Am Med Inform Assoc. 2023 06 20; 30(7):1323-1332.
Wang M, Sushil M, Miao BY, Butte AJ. PMID: 37187158; PMCID: PMC10280344.
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PubMed Mentions:
3 Fields:
Translation:
Humans
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Novel computational methods on electronic health record yields new estimates of transfusion-associated circulatory overload in populations enriched with high-risk patients. Transfusion. 2023 07; 63(7):1298-1309.
Wang M, Goldgof GM, Patel A, Whitaker B, Belov A, Chan B, Phelps E, Rubin B, Anderson S, Butte AJ. PMID: 37248741; PMCID: PMC10449535.
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PubMed Mentions: Fields:
Translation:
Humans
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Open challenges in developing digital therapeutics in the United States. PLOS Digit Health. 2022 Jan; 1(1):e0000008.
Miao BY, Arneson D, Wang M, Butte AJ. PMID: 36812515; PMCID: PMC9931293.
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PubMed Mentions:
8
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| Year | Publications |
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| 2022 | 1 |
| 2023 | 4 |
| 2024 | 3 |
This graph shows the number and percent of publications by field.
Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications.
Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written.
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This graph shows the number and percent of publications by field.
Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications.
Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written.
To see the data as text,
click here.
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