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Year Number of Results
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Using the electronic health record for genomics research.
Safarova MS, Kullo IJ. Safarova MS, et al. Curr Opin Lipidol. 2020 Apr;31(2):85-93. doi: 10.1097/MOL.0000000000000662. Curr Opin Lipidol. 2020. PMID: 32073412 Free PMC article. Review.
PURPOSE OF REVIEW: Although primarily designed for medical documentation and billing purposes, the electronic health record (EHR) has significant potential for translational research. In this article, we provide an overview of the use of the EHR for …
PURPOSE OF REVIEW: Although primarily designed for medical documentation and billing purposes, the electronic health record …
Using Phecodes for Research with the Electronic Health Record: From PheWAS to PheRS.
Bastarache L. Bastarache L. Annu Rev Biomed Data Sci. 2021 Jul 20;4:1-19. doi: 10.1146/annurev-biodatasci-122320-112352. Annu Rev Biomed Data Sci. 2021. PMID: 34465180 Free PMC article. Review.
Electronic health records (EHRs) are a rich source of data for researchers, but extracting meaningful information out of this highly complex data source is challenging. Phecodes represent one strategy for defining phenotypes for research using EHR data …
Electronic health records (EHRs) are a rich source of data for researchers, but extracting meaningful information out o …
A guide to deep learning in healthcare.
Esteva A, Robicquet A, Ramsundar B, Kuleshov V, DePristo M, Chou K, Cui C, Corrado G, Thrun S, Dean J. Esteva A, et al. Nat Med. 2019 Jan;25(1):24-29. doi: 10.1038/s41591-018-0316-z. Epub 2019 Jan 7. Nat Med. 2019. PMID: 30617335 Review.
Our discussion of computer vision focuses largely on medical imaging, and we describe the application of natural language processing to domains such as electronic health record data. Similarly, reinforcement learning is discussed in the context of robotic-ass …
Our discussion of computer vision focuses largely on medical imaging, and we describe the application of natural language processing to doma …
Artificial intelligence for multimodal data integration in oncology.
Lipkova J, Chen RJ, Chen B, Lu MY, Barbieri M, Shao D, Vaidya AJ, Chen C, Zhuang L, Williamson DFK, Shaban M, Chen TY, Mahmood F. Lipkova J, et al. Cancer Cell. 2022 Oct 10;40(10):1095-1110. doi: 10.1016/j.ccell.2022.09.012. Cancer Cell. 2022. PMID: 36220072 Free article. Review.
In oncology, the patient state is characterized by a whole spectrum of modalities, ranging from radiology, histology, and genomics to electronic health records. Current artificial intelligence (AI) models operate mainly in the realm of a single modalit …
In oncology, the patient state is characterized by a whole spectrum of modalities, ranging from radiology, histology, and genomics to …
The UK Biobank resource with deep phenotyping and genomic data.
Bycroft C, Freeman C, Petkova D, Band G, Elliott LT, Sharp K, Motyer A, Vukcevic D, Delaneau O, O'Connell J, Cortes A, Welsh S, Young A, Effingham M, McVean G, Leslie S, Allen N, Donnelly P, Marchini J. Bycroft C, et al. Nature. 2018 Oct;562(7726):203-209. doi: 10.1038/s41586-018-0579-z. Epub 2018 Oct 10. Nature. 2018. PMID: 30305743 Free PMC article.
The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each participant, including biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follo …
The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each p …
Pharmacogenomics: Precision Medicine and Drug Response.
Weinshilboum RM, Wang L. Weinshilboum RM, et al. Mayo Clin Proc. 2017 Nov;92(11):1711-1722. doi: 10.1016/j.mayocp.2017.09.001. Epub 2017 Nov 1. Mayo Clin Proc. 2017. PMID: 29101939 Free PMC article. Review.
There are now many validated examples of the clinical utility of pharmacogenomics, and this type of clinical genomic information is increasingly being generated in clinical laboratories, incorporated into electronic health records, and used to "tailor" or ind …
There are now many validated examples of the clinical utility of pharmacogenomics, and this type of clinical genomic information is increasi …
Big Data Analytics in Medicine and Healthcare.
Ristevski B, Chen M. Ristevski B, et al. J Integr Bioinform. 2018 May 10;15(3):20170030. doi: 10.1515/jib-2017-0030. J Integr Bioinform. 2018. PMID: 29746254 Free PMC article.
Big data analytics in medicine and healthcare covers integration and analysis of large amount of complex heterogeneous data such as various - omics data (genomics, epigenomics, transcriptomics, proteomics, metabolomics, interactomics, pharmacogenomics, diseasomics), biomed …
Big data analytics in medicine and healthcare covers integration and analysis of large amount of complex heterogeneous data such as various …
Artificial Intelligence in Medical Practice: The Question to the Answer?
Miller DD, Brown EW. Miller DD, et al. Am J Med. 2018 Feb;131(2):129-133. doi: 10.1016/j.amjmed.2017.10.035. Epub 2017 Nov 7. Am J Med. 2018. PMID: 29126825 Review.
Computer science advances and ultra-fast computing speeds find artificial intelligence (AI) broadly benefitting modern society-forecasting weather, recognizing faces, detecting fraud, and deciphering genomics. AI's future role in medical practice remains an unanswered ques …
Computer science advances and ultra-fast computing speeds find artificial intelligence (AI) broadly benefitting modern society-forecasting w …
Personalized Medicine and the Power of Electronic Health Records.
Abul-Husn NS, Kenny EE. Abul-Husn NS, et al. Cell. 2019 Mar 21;177(1):58-69. doi: 10.1016/j.cell.2019.02.039. Cell. 2019. PMID: 30901549 Free PMC article. Review.
Personalized medicine has largely been enabled by the integration of genomic and other data with electronic health records (EHRs) in the United States and elsewhere. Increased EHR adoption across various clinical settings and the establishment of EHR-linked p …
Personalized medicine has largely been enabled by the integration of genomic and other data with electronic health records …
Estimated Prevalence and Clinical Manifestations of UBA1 Variants Associated With VEXAS Syndrome in a Clinical Population.
Beck DB, Bodian DL, Shah V, Mirshahi UL, Kim J, Ding Y, Magaziner SJ, Strande NT, Cantor A, Haley JS, Cook A, Hill W, Schwartz AL, Grayson PC, Ferrada MA, Kastner DL, Carey DJ, Stewart DR. Beck DB, et al. JAMA. 2023 Jan 24;329(4):318-324. doi: 10.1001/jama.2022.24836. JAMA. 2023. PMID: 36692560 Free PMC article.
DESIGN, SETTING, AND PARTICIPANTS: This retrospective observational study evaluated UBA1 variants in exome data from 163 096 participants within the Geisinger MyCode Community Health Initiative. Clinical phenotypes were determined from Geisinger electronic health …
DESIGN, SETTING, AND PARTICIPANTS: This retrospective observational study evaluated UBA1 variants in exome data from 163 096 participants wi …
1,292 results