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

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