Metrics details. Thinking about model organisms enables us to examine how living organisms have been brought into the laboratory and used to gain a better understanding of biology, and to explore the research practices, commitments, and norms underlying this understanding. 10.1016/1369-5266(88)80053-0. Sarah Poole and Nigam Shah. Lehrnbecher T, Sung L. Anti-infective prophylaxis in pediatric patients with acute myeloid leukemia. This Element presents a philosophical exploration of the concept of the 'model organism' in contemporary biology. Franks B. Taming the big data tidal wave: finding opportunities in huge data streams with advanced analytics. Simply select your manager software from the list below and click on download. PubMed CAS Article Google Scholar 4. Published: August 21, 2020 Hi all, this is the very first post in my new research journal - started as a course requirement for … Compared with other leading causes of death, gun violence was associated with less funding and fewer publications than predicted based on mortality rate ().Gun violence had 1.6% of the funding predicted ($1.4 billion predicted, $22 million observed) and had 4.5% of the volume of publications predicted (38 897 predicted, 1738 observed) from the regression analyses. Done. The past year has been an interesting one for those interested in reproducible research. Why CAD failed in mammography. Done. Mining the ultimate phenome repository. DuMouchel W. Multivariate bayesian logistic regression for analysis of … Ethics declarations . 1997, 276: 726-733. 1994, 25 (11): 1172-1178. New articles by this author. Add co-authors Co-authors. Clinical Pharmacology and Therapeutics 91, 6 (jun 2012), 1010--1021. Google Scholar . doi: 10.1038/nbt.2757 Crossref Medline Google Scholar; 14. Nigam Shah at the Stanford School of Medicine has written about the effect that limit has had on empirical research. 2013;93(6):539–46. 1998, 1: 316-323. Google Scholar Cross Ref The ones marked * may be different from the article in the profile. Harpaz R, Dumouchel W, Lependu P, Bauer-Mehren A, Ryan P, Shah NH. CoRR abs/1808.03331 (2018) New articles by this author. Nigam Shah 11, Arfon Smith 12, Gaël Varoquaux 13 & Egon Willighagen 14 Source Code for Biology and Medicine volume 7, Article number: 2 (2012) Cite this article. Article CAS PubMed Google Scholar 5. Nigam Shah Stanford University United States: G2R World Ranking 1844th. PDF Restore Delete Forever. Google Scholar. 2009;24(2):8–12. less than 1 minute read. Machine learning and prediction in medicine - beyond the peak of inflated expectations. Daisy Yi Ding, Chloé Simpson, Stephen Pfohl, Dave C. Kale, Kenneth Jung, Nigam H. Shah: The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data. Chen JH, Asch SM. PubMed CAS Article Google Scholar 5. Google H-index: 58: Number of Google Citations: 16,106: Number of Articles on DBLP: 144: External Links. 2018. A major challenge for functional and comparative genomics resource development is the extraction of data from the biomedical literature. PubMed. Dr Shah is an Associate Professor of Medicine at Stanford University, at the Center for Biomedical Informatics Research. Sarah Poole and Nigam Shah. 7 Citations. Medline Google Scholar; 13. Google Scholar Profile; Personal Website for Nigam Shah; List of Publications on DBLP. PubMed CAS Article Google Scholar … Sanya’s research journal . This "Cited by" count includes citations to the following articles in Scholar. Mukai M: Immunohistochemical localization of S-100 protein and peripheral nerve myelin proteins (P2 protein, … Blood. Google Scholar; Ajay Kohli and Saurabh Jha. Biomedical Informatics Insights 2019 10.1177/1178222618818478 Share. Upload PDF. The ones marked * may be different from the article in the profile. Curr Opin Plant Biol. New citations to this author. New citations to this author. Baker B, Zambryski P, Staskawicz B, Dinesh-Kumar SP: Signaling in plant-microbe interactions. Email address for updates. Google Scholar Corresponding author. Competing interests. Nigam has 17 jobs listed on their profile. The site facilitates research and collaboration in academic endeavors. Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system. 4. Professor of Philosophy, Biomedical Informatics, and Computer Science, University at … Verified email at buffalo.edu. Email address for updates. Hum Pathol. CAS Article Google Scholar 3. Nigam H. Shah, Nigam H. Shah Nigam H. Shah is a research scientist at the Stanford Center for Biomedical Informatics group and member of the National Center for Biomedical Ontology. SARS-CoV-2-specific antibodies, particularly those preventing viral spike receptor binding domain (RBD) interaction with host angiotensin-converting enzyme 2 (ACE2) receptor, could offer protective immunity, and may affect clinical outcomes of COVID-19 patients. Search for other works by this author on: Oxford Academic. Professor of Biomedical Informatics Research, Stanford University - מצוטט/ת ב-38,784 מאמרים - Intelligent systems - ontology - ontologies - biomedical informatics - open science With an eye to AI and autonomous diagnosis. John P A Ioannidis, John P A Ioannidis Department of Medicine, Stanford University, Stanford, California, USA. 2. Biomedical Informatics Insights 2019 10.1177/1178222618818478 Download Citation. Dr Shah holds an MBBS from Baroda Medical College, India, a PhD from Penn … Social Media; Email; Share Access; Share this article via social media. If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Google Scholar. Email address for updates. Rave Harpaz, William DuMouchel, Nigam H Shah, David Madigan, Patrick Ryan, Carol Friedman, and Author Manuscript. This "Cited by" count includes citations to the following articles in Scholar. Follow this author . 8072 Accesses. Follow this author. Abstract. doi: 10.1038/clpt.2013.24. Google Scholar. Department of Statistics, Stanford University , Stanford, California, USA. 3. Share. 21 Altmetric. Sung L, Lange BJ, Gerbing RB, Alonzo TA, Feusner J. Microbiologically documented infections and infection-related mortality in children with acute myeloid leukemia. Associate Professor of Medicine, Stanford University - Παρατίθεται από 15.658 - ontology - data mining - medical informatics - Biomedical Informatics Google Scholar. New articles related to this author's research. Science. 2018. Hoboken: Wiley; 2012. PDF Restore Delete Forever. 2007;110(10):3532–9. npj Digital Medicine 1, 1 (Aug. 2018), 1--3. Novel Data Mining Methodologies for Adverse Drug Event Discovery and Analysis. We analyzed 625 serial plasma samples from 40 hospitalized COVID-19 patients and 170 SARS-CoV-2-infected outpatients … NH Shah, P LePendu, A Bauer-Mehren, etal: Proton pump inhibitor usage and the risk of myocardial infarction in the general population PLoS One 10: e0124653, 2015 Crossref, Medline, Google Scholar 21. Meta-Research Innovation Center at Stanford, Stanford University, Stanford, California, USA. PDF Restore Delete Forever. Clin Pharmacol Ther. Early identification of symptoms and comorbidities most predictive of COVID-19 is critical to identify infection, guide policies to effectively contain the pandemic, and improve health systems’ response. 2012. Correspondence to Nigam H Shah. Shah NH. Associate Professor Nigam Shah Stanford University, USA. Follow this author. Article CAS PubMed Google Scholar 3. Article Google Scholar 2. Nigam Shah 2 BMC Cancer volume ... Google Scholar 2. Although text Done. 2013; 31:1095–1097. Halevy A, Norvig P, Pereira F. The unreasonable effectiveness of data. H-Index & Metrics. CrossRef Google Scholar. Nat Biotechnol. Journal of the American College of Radiology 15, 3 (2018), 535--537. New articles by this author. The e-mail addresses that you supply to use this service will not be used for any other purpose without your consent. 15378276 [arxiv]NIHMS150003 Google Scholar Cross Ref Nigam H. Shah is an assistant professor in the Center for Biomedical Informatics Research, Stanford University School of Medicine. New articles related to this author's research. This "Cited by" count includes citations to the following articles in Scholar. New citations to this author. N Engl J Med. Upload PDF. His research focuses on developing ontology-based approaches to integrate diverse information types for reasoning about biological systems. Kurtin PJ, Bonin DM: Immunohistochemical demonstration of the lysosome-associated glycoprotein CD68 (KP-1) in granular cell tumors and schwannomas. 10.1126/science.276.5313.726. 10.1016/0046-8177(94)90033-7. Dong X: SA, JA, ethylene, and disease resistance in plants. Upload PDF. Intell Syst IEEE. Add co -authors Co-authors. Nigam H. Shah, MBBS, PhD is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). New articles related to this author's research . His research uses machine learning, text-mining, and prior knowledge in medical ontologies to enable the learning health system. Article CAS PubMed Google Scholar 4. The author declares no competing financial interests. G2R United States Ranking 1025th. Google Scholar Digital Library; Pearse A Keane and Eric J Topol. Add co-authors Co-authors. The ones marked * may be different from the article in the profile. Cited by 36010 View Nigam Shah’s profile on LinkedIn, the world's largest professional community.
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