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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1994 1
2003 1
2004 1
2005 3
2006 1
2007 1
2008 4
2009 5
2010 2
2011 7
2012 12
2013 11
2014 20
2015 13
2016 12
2017 21
2018 20
2019 17
2020 10
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143 results
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Risk of dementia among postmenopausal breast cancer survivors treated with aromatase inhibitors versus tamoxifen: a cohort study using primary care data from the UK.
Bromley SE, Matthews A, Smeeth L, Stanway S, Bhaskaran K. Bromley SE, et al. J Cancer Surviv. 2019 Aug;13(4):632-640. doi: 10.1007/s11764-019-00782-w. Epub 2019 Jul 18. J Cancer Surviv. 2019. PMID: 31321612 Free PMC article.
PURPOSE: Among a cohort of postmenopausal breast cancer survivors, we aimed to compare the risk of dementia associated with aromatase inhibitor (AI) therapy versus tamoxifen. METHODS: Using UK primary care electronic health records, we id …
PURPOSE: Among a cohort of postmenopausal breast cancer survivors, we aimed to compare the risk of dementia associated with ar …
How artificial intelligence is changing drug discovery.
Fleming N. Fleming N. Nature. 2018 May;557(7707):S55-S57. doi: 10.1038/d41586-018-05267-x. Nature. 2018. PMID: 29849160 No abstract available.
Study on Hypoglycemic Effect of the Drug Pair of Astragalus Radix and Dioscoreae Rhizoma in T2DM Rats by Network Pharmacology and Metabonomics.
Guo Q, Niu W, Li X, Guo H, Zhang N, Wang X, Wu L. Guo Q, et al. Molecules. 2019 Nov 8;24(22):4050. doi: 10.3390/molecules24224050. Molecules. 2019. PMID: 31717456 Free PMC article.
The drug pair (HS) of Astragalus Radix (HQ) and Dioscoreae Rhizoma (SY) was designed by Dr. Shi Jinmo to improve the treatment of T2DM. ...In the future, this approach may be a potentially powerful tool to discovery active components of traditional Chinese me …
The drug pair (HS) of Astragalus Radix (HQ) and Dioscoreae Rhizoma (SY) was designed by Dr. Shi Jinmo to improve the treatment
Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review.
Lee Y, Ragguett RM, Mansur RB, Boutilier JJ, Rosenblat JD, Trevizol A, Brietzke E, Lin K, Pan Z, Subramaniapillai M, Chan TCY, Fus D, Park C, Musial N, Zuckerman H, Chen VC, Ho R, Rong C, McIntyre RS. Lee Y, et al. J Affect Disord. 2018 Dec 1;241:519-532. doi: 10.1016/j.jad.2018.08.073. Epub 2018 Aug 14. J Affect Disord. 2018. PMID: 30153635
RESULTS: We identified 639 records: 75 full-text publications were assessed for eligibility; 26 studies (n=17,499) and 20 studies (n=6325) were included in qualitative and quantitative review, respectively. ...
RESULTS: We identified 639 records: 75 full-text publications were assessed for eligibility; 26 studies (n=17,499) and 20 studies (n= …
Treatment Patterns and Outcomes of Patients With Metastatic ER(+)/HER-2(-) Breast Cancer: A Multicountry Retrospective Medical Record Review.
Kurosky SK, Mitra D, Zanotti G, Kaye JA. Kurosky SK, et al. Clin Breast Cancer. 2018 Aug;18(4):e529-e538. doi: 10.1016/j.clbc.2017.10.008. Epub 2017 Oct 14. Clin Breast Cancer. 2018. PMID: 29199086
PURPOSE: To describe treatment patterns and clinical outcomes among postmenopausal women with metastatic ER(+)/HER-2(-) breast cancer treated with ≥ 2 lines of endocrine therapy or chemotherapy in the metastatic setting. ...Two-thirds of …
PURPOSE: To describe treatment patterns and clinical outcomes among postmenopausal women with metastatic ER(+)/HER-2(-) bre
Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images.
Urban G, Bache KM, Phan D, Sobrino A, Shmakov AK, Hachey SJ, Hughes C, Baldi P. Urban G, et al. IEEE/ACM Trans Comput Biol Bioinform. 2019 May-Jun;16(3):1029-1035. doi: 10.1109/TCBB.2018.2841396. Epub 2018 May 29. IEEE/ACM Trans Comput Biol Bioinform. 2019. PMID: 29993583
Likely drug candidates which are identified in traditional pre-clinical drug screens often fail in patient trials, increasing the societal burden of drug discovery. ...We have recently introduced a new microphysiological system for growing vascu …
Likely drug candidates which are identified in traditional pre-clinical drug screens often fail in patient trials, increasing …
Aromatase inhibitor and tamoxifen use and the risk of venous thromboembolism in breast cancer survivors.
Xu X, Chlebowski RT, Shi J, Barac A, Haque R. Xu X, et al. Breast Cancer Res Treat. 2019 Apr;174(3):785-794. doi: 10.1007/s10549-018-05086-8. Epub 2019 Jan 18. Breast Cancer Res Treat. 2019. PMID: 30659431
Patients with hormone-receptor-positive breast cancer usually receive adjuvant endocrine therapy for 5 years or longer. The aim of this study is to examine VTE risk following long-term use of aromatase inhibitor (AI) compared with tamoxifen use among …
Patients with hormone-receptor-positive breast cancer usually receive adjuvant endocrine therapy for 5 years or …
Automated discovery of drug treatment patterns for endocrine therapy of breast cancer within an electronic medical record.
Savova GK, Olson JE, Murphy SP, Cafourek VL, Couch FJ, Goetz MP, Ingle JN, Suman VJ, Chute CG, Weinshilboum RM. Savova GK, et al. J Am Med Inform Assoc. 2012 Jun;19(e1):e83-9. doi: 10.1136/amiajnl-2011-000295. Epub 2011 Dec 1. J Am Med Inform Assoc. 2012. PMID: 22140207 Free PMC article.
OBJECTIVE: To develop an algorithm for the discovery of drug treatment patterns for endocrine breast cancer therapy within an electronic medical record and to test the hypothesis that information extract …
OBJECTIVE: To develop an algorithm for the discovery of drug treatment patterns for endocrine breast
Learning Health System for Breast Cancer: Pilot Project Experience.
Levine MN, Alexander G, Sathiyapalan A, Agrawal A, Pond G. Levine MN, et al. JCO Clin Cancer Inform. 2019 Aug;3:1-11. doi: 10.1200/CCI.19.00032. JCO Clin Cancer Inform. 2019. PMID: 31369338 Free article.
PURPOSE: Clinicians need accurate and timely information on the impact of treatments on patient outcomes. The electronic health record (EHR) offers the potential for insight into real-world patient experiences and outcomes, but it is difficult to tap i …
PURPOSE: Clinicians need accurate and timely information on the impact of treatments on patient outcomes. The electronic he
High-Throughput Functional Evaluation of KCNQ1 Decrypts Variants of Unknown Significance.
Vanoye CG, Desai RR, Fabre KL, Gallagher SL, Potet F, DeKeyser JM, Macaya D, Meiler J, Sanders CR, George AL Jr. Vanoye CG, et al. Circ Genom Precis Med. 2018 Nov;11(11):e002345. doi: 10.1161/CIRCGEN.118.002345. Circ Genom Precis Med. 2018. PMID: 30571187 Free PMC article.
BACKGROUND: The explosive growth in known human gene variation presents enormous challenges to current approaches for variant classification that have implications for diagnosis and treatment of many genetic diseases. ...METHODS: We implemented a strategy for performing hi …
BACKGROUND: The explosive growth in known human gene variation presents enormous challenges to current approaches for variant classification …
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