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