Projects per year
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Dive into the research topics where Richard M Weinshilboum is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 8 Finished
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NEXT GENERATION DNA SEQUENCING NETWORK RESOURCE
National Institute of General Medical Sciences
7/1/10 → 6/30/15
Project: Research project
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PGRN PHARMACOGENOMIC ONTOLOGY NETWORK RESOURCE
National Institute of General Medical Sciences
7/1/10 → 6/30/15
Project: Research project
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Pharmacogenetics of Phase II Drug Metabolizing Enzymes
National Institute of General Medical Sciences
7/1/10 → 6/30/15
Project: Research project
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Pharmacogenetics of Phase II Drug Metabolizing Enzymes
Weinshilboum, R. M., Wang, L. M., Wang, L. M. & Weinshilboum, R. M.
National Institute of General Medical Sciences
7/1/10 → 6/30/16
Project: Research project
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Pharmacogenomics of cytosine arabinoside (Ara-C) and acute myelogenous leukemia
Weinshilboum, R. M. & Weinshilboum, R. M.
8/1/08 → 5/31/14
Project: Research project
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Anastrozole Regulates Fatty Acid Synthase in Breast Cancer
Cairns, J., Ingle, J. N., Kalari, K. R., Goetz, M. P., Weinshilboum, R. M., Gao, H., Li, H., Bari, M. G. & Wang, L., Jan 2022, In: Molecular cancer therapeutics. 21, 1, p. 206-216 11 p.Research output: Contribution to journal › Article › peer-review
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Biomarkers for Predicting Abiraterone Treatment Outcome and Selecting Alternative Therapies in Castration-Resistant Prostate Cancer
Qin, S., Gao, H., Kim, W., Zhang, H., Gu, Y., Kalari, K. R., Sinnwell, J. P., Scholz, J. A., Xie, F., Yin, P., Yu, J., Qin, B., Zhuang, Y., Wei, L., Tan, W., Bryce, A. H., Weinshilboum, R. M. & Wang, L., Jun 2022, In: Clinical pharmacology and therapeutics. 111, 6, p. 1296-1306 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Clinical predictors of response to methotrexate in patients with rheumatoid arthritis: a machine learning approach using clinical trial data
Duong, S. Q., Crowson, C. S., Athreya, A., Atkinson, E. J., Davis, J. M., Warrington, K. J., Matteson, E. L., Weinshilboum, R., Wang, L. & Myasoedova, E., Dec 2022, In: Arthritis Research and Therapy. 24, 1, 162.Research output: Contribution to journal › Article › peer-review
Open Access -
Evidence for machine learning guided early prediction of acute outcomes in the treatment of depressed children and adolescents with antidepressants
Athreya, A. P., Vande Voort, J. L., Shekunov, J., Rackley, S. J., Leffler, J. M., McKean, A. J., Romanowicz, M., Kennard, B. D., Emslie, G. J., Mayes, T., Trivedi, M., Wang, L., Weinshilboum, R. M., Bobo, W. V. & Croarkin, P. E., 2022, (Accepted/In press) In: Journal of Child Psychology and Psychiatry and Allied Disciplines.Research output: Contribution to journal › Article › peer-review
Open Access -
Genetic Polymorphisms and Correlation with Treatment-Induced Cardiotoxicity and Prognosis in Patients with Breast Cancer
Peddi, P. F., Fasching, P. A., Liu, D., Quinaux, E., Robert, N. J., Valero, V., Crown, J., Falkson, C., Brufsky, A., Cunningham, J. M., Weinshilboum, R. M., Pienkowski, T., Eiermann, W., Martín, M., Bee, V., Wang, X., Wang, L., Yang, E., Slamon, D. J. & Hurvitz, S. A., May 1 2022, In: Clinical Cancer Research. 28, 9, p. 1854-1862 9 p.Research output: Contribution to journal › Article › peer-review