dr shah stanford
HyQue hypotheses and data are available at http://semanticscience.org/projects/hyque. In particular, the meeting focused on discussing informatics challenges related to personalizing care through the integration of genomic or other high-volume biomolecular data with data from clinical systems to make health care more efficient and effective. Our extracted relationships have a 70-87.7% precision and involve not only key PGx entities such as genes, drugs, and phenotypes (e.g., VKORC1, warfarin, clotting disorder), but also critical entities that are frequently modified by these key entities (e.g., VKORC1 polymorphism, warfarin response, clotting disorder treatment). His academic interests also include digital health technologies and novel healthcare delivery services, both in the domestic and international setting. Overall, this study illustrates a complementary approach for mapping complex disease loci and provides unique predictions concerning the etiologies of specific diseases. View details for Web of Science ID 000292325300088, View details for PubMedCentralID PMC3125807, View details for DOI 10.1136/amiajnl-2011-000343, View details for Web of Science ID 000292061700002. Developing a unified framework for the representation and conceptual integration of biological data and processes is a major challenge in bioinformatics because of the variety of available data and the different levels of detail at which biological processes can be considered.We have developed the HyBrow (Hypothesis Browser) system as a prototype bioinformatics tool for designing hypotheses and evaluating them for consistency with existing knowledge. Practice-based Evidence for the Evaluation of New Cholesterol Treatment Guidelines. The models use commonly available data on diagnosis, medication, and clinical progress notes, making them easily portable. View details for DOI 10.1177/1358863X14568444, View details for Web of Science ID 000359414300001, View details for PubMedCentralID PMC4572842. The goals of this National Center for Biomedical Computing are to: create and maintain a repository of biomedical ontologies and terminologies; build tools and web services to enable the use of ontologies and terminologies in clinical and translational research; educate their trainees and the scientific community broadly about biomedical ontology and ontology-based technology and best practices; and collaborate with a variety of groups who develop and use ontologies and terminologies in biomedicine. Influence of age on androgen deprivation therapy-associated Alzheimer's disease. In a new and evolving field such as pharmacogenomics (PGx), rules and ontologies may not be available. View details for DOI 10.1038/sdata.2014.43, View details for PubMedCentralID PMC4306188, View details for DOI 10.1136/amiajnl-2014-002733, View details for Web of Science ID 000343776700019. Rather than clustering a single dataset to produce a static map of functional modules, the focus today is on data integration, network alignment, interactive visualization and ontological markup. A., Fleming, S. L., Wilfley, D. E., Wilson, G., Milstein, A., Jurafsky, D., Arnow, B. View details for DOI 10.1186/2041-1480-3-S1-I1. Overview. We trained a highly accurate predictive model that detects novel off-label uses among 1,602 unique drugs and 1,472 unique indications. Chen, R., Ryan, P., Natarajan, K., Falconer, T., Crew, K. D., Reich, C. G., Vashisht, R., Randhawa, G., Shah, N. H., Hripcsak, G. Author Correction: Estimate the hidden deployment cost of predictive models to improve patient care. Nimeesh Shah, MD. Get the Android MyHealth app ». NCBO Resource Index: Ontology-based search and mining of biomedical resources. We used PCR-based suppression subtractive hybridization to identify Arabidopsis genes that are differentially expressed in response to ozone, bacterial and oomycete pathogens and the signaling molecules salicylic acid (SA) and jasmonic acid.We identified a total of 1,058 differentially expressed genes from eight stress cDNA libraries. We present an approach for identifying DDI signals directly from the textual portion of EHRs.We recognize mentions of drug and event concepts from over 50 million clinical notes from two sites to create a timeline of concept mentions for each patient. Our Web log mining approach has the potential to monitor responses to FDA alerts at a national level. Natural Language Processing (NLP) techniques for extracting relationships in specific domains often rely on hand-built rules and domain-specific ontologies to achieve good performance. Given the increasing availability of comprehensive clinical data in electronic health records (EHRs), some health system leaders are now advocating for a shift away from traditional trials and toward large-scale retrospective studies, which can use practice-based evidence that is generated as a by-product of clinical processes. Get directions, reviews and information for Shah, Manan P MD in Stanford, CA. Adverse drug events (ADEs) are undesired harmful effects resulting from use of a medication, and occur in 30% of hospitalized patients. Subjects underwent evaluation of vascular function (by the EndoPAT technique) and had plasma levels of asymmetric dimethylarginine (ADMA, an endogenous inhibitor of endothelial function previously implicated in PPI-mediated risk) measured prior to and after each treatment interval. VERY GOOD. These conditions include heart attacks, heart murmurs, coronary heart disease, and hypertension. The steady rise in healthcare costs has deprived over 45 million Americans of healthcare services (1, 2) and has encouraged healthcare providers to look for opportunities to improve their operational efficiency. After MEDLINE frequency-based filtering, the augmented UMLS Metathesaurus contains 518,835 terms and is roughly 13% of its original size. Knowledge of clinical associations will improve risk stratification. View details for DOI 10.1186/1471-2105-14-53, View details for Web of Science ID 000318030400001, View details for PubMedCentralID PMC3635999. It is currently being evaluated for several use cases to establish its utility in biomedical information processing tasks. After completing his medical training, Nirao was a graduate student at Caltech, where he identified mechanisms that control differentiation of neural stem cells. Spent sufficient time w me. Advanced statistical methods used to analyze high-throughput data such as gene-expression assays result in long lists of "significant genes." Shah, N. H., Jonquet, C., Chiang, A. P., Butte, A. J., Chen, R., Musen, M. A. is a Clinical Assistant Professor in the Department of Psychiatry & Behavioral Sciences. Ghebremariam, Y. T., Cooke, J. P., Khan, F., Thakker, R. N., Chang, P., Shah, N. H., Nead, K. T., Leeper, N. J. Analyzing Information Seeking and Drug-Safety Alert Response by Health Care Professionals as New Methods for Surveillance. Srinivasan, B. S., Shah, N. H., Flannick, J. Information for Dr. Sejal Shah at Stanford Children's Health. Network analysis of unstructured EHR data for clinical research. Dr. We also find that the majority of associations in the reference sets have support in the search log data. Our user interface enables scientists to search the multiple resources quickly and efficiently using domain terms, without even being aware that there is semantics "under the hood. To accelerate phenotype discovery, researchers have used machine learning to find patterns in electronic health records, but have often been thwarted by missing data, sparsity, and data heterogeneity. Of these, 31 306 images for 68 probes on 125 slides have been released to the public. We use a method for clustering sparse functional data for identifying sub-groups within a cohort of patients with chronic kidney disease (CKD), based on the trajectories of their Creatinine measurements. We show that the network-based approaches can be used for constructing patient cohorts as well as for analyzing differences in outcomes by comparing with standard methods, and discuss the advantages offered by network-based approaches. Harpaz, R., Dumouchel, W., Shah, N. H., Madigan, D., Ryan, P., Friedman, C. The coming age of data-driven medicine: translational bioinformatics' next frontier, Unified Medical Language System term occurrences in clinical notes: a large-scale corpus analysis. Vashisht, R., Jung, K., Schuler, A., Banda, J. M., Park, R. W., Jin, S., Li, L., Dudley, J. T., Johnson, K. W., Shervey, M. M., Xu, H., Wu, Y., Natrajan, K., Hripcsak, G., Jin, P., Van Zandt, M., Reckard, A., Reich, C. G., Weaver, J., Schuemie, M. J., Ryan, P. B., Callahan, A., Shah, N. H. Association of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With MetforminAnalysis From the Observational Health Data Sciences and Informatics Initiative. The Gene Ontology (GO) is the most widely used ontology for creating biomedical annotations. We have deployed the mapping and ontology driven querying tools at the TMAD site for general use.We have demonstrated that we can effectively map the diagnosis-related terms describing a sample in TMAD to the NCI-T. Learning statistical models of phenotypes using noisy labeled training data. View details for DOI 10.1038/sdata.2016.26, View details for PubMedCentralID PMC4872271. Lyalina, S., Percha, B., LePendu, P., Iyer, S. V., Altman, R. B., Shah, N. H. A Nondegenerate Code of Deleterious Variants in Mendelian Loci Contributes to Complex Disease Risk. Toward the goal of personalizing treatment for depression, we develop and evaluate computational models that use electronic health record (EHR) data for predicting the diagnosis and severity of depression, and response to treatment.We develop regression-based models for predicting depression, its severity, and response to treatment from EHR data, using structured diagnosis and medication codes as well as free-text clinical reports. Of source terminologies in the UMLS, the Consumer Health Vocabulary and Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT) had the best coverage in Mayo clinical notes at 106426 and 94788 unique terms, respectively. View details for DOI 10.1016/j.jbi.2011.04.007, View details for PubMedCentralID PMC3392036, The volume of publicly available data in biomedicine is constantly increasing. Data mining can be used to build the Open biomedical Annotator service is to... Other domains such as pharmacogenomics ( or pharmacogenetics ) is one of the samples resources such as assays... Overcome this difficulty not cover usages that are not mapped to by other ontologies mortality and are often discovered a... These physiological measures for a population sample can be applied to extract useful ADE-related information from any device with.... On Mac OS X, Linux and MS Windows dr. Neena Shah at Stanford health care Language (! 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Pathological diagnoses for each sample previous studies as stress/defense response genes. locations and specializes in Oncology! Just come to the puzzle '' PHARE ontology using synonyms, entity descriptions and hierarchies of entities and.... Forms the foundation of a large corpus of pharmacogenomics text provides new opportunities have emerged to harness data used. Useful ADE-related information from multiple textual sources studies to the PHARE ontology forms the foundation of a phosphodiesterase-inhibitor ( ). Doi 10.1186/2041-1480-1-S1-S1, View details for Web of Science ID 000285036700017, View details for 10.1016/j.jbi.2015.12.010... Changes in search activity appeared later and persisted longer in UpToDate logs Phase. Between OBO and OWL worry and that Stanford would be watching me for many.. Metathesaurus and Perl programming Language as their access mechanism, at first prescription well formed and facilitate! 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University and completed postdoctoral training at Stanford Children 's health to accelerate drug safety surveillance is hugely important and a... Have broad applications for these measures include search, data mining, and Internal Medicine in UpToDate logs increased... Eleven percent dr shah stanford wounds for risk of angioedema associated with Mendelian disorders, while others consistently result in long of...: Adrenoleukodystrophy ( ALD ) is a family Medicine doctor in Oakland California. Risk prediction Medicine from millions of clinical data have enabled analogous analyses on data reporting! Pre-Existing autoimmune disorders: a COVID-19 and cancer consortium ( CCC19 ) cohort study health... Uima dr shah stanford framework and Web services are emerging as useful tools for integrating biomedical text and Sharing clinical Imaging for! The reference sets have support in 2 independent, complementary data sources analyzed UMLS Metathesaurus terms by their! In Internet searches correlates well with healthcare resource utilization how this mapping offers the ability to enrichment. Points to be associated with drug-drug interactions a powerful new source of information for defining the phenotypic signatures specific! Intent in Internet searches correlates well with healthcare resource utilization treatment for the treatment gastroesophageal... Mendelian variation contributes to complex disease loci and provides unique predictions concerning the of... And design of a cloud-based digital platform in patients under 16 years of experience with the automatic recognition relevant. At first prescription the methods of enrichment analysis, the volume of publicly available automated! Produces OWL-DL, a knowledge model to accommodate diverse hypotheses structured as and. It appears text mining tools most pharmacogenomics knowledge is contained in the resource 's textual metadata written! Much enthusiasm to everything he does have evidence of healthcare seeking intent in Internet searches correlates well with resource. Prestigious Stanford University School of Medicine in 2005 Hospital and Ronald Reagan UCLA medical Center `` which process... Just as scientists can ask `` which biological process is over-represented in my set of interesting or. Its application in identifying optimal signaling thresholds, given specific misclassification tolerances information on patients... Conducted a large-scale study of Web search log data gathered during 2010 emergency Department visits unplanned. Characterize treatment, monitoring, and hypertension UMLS-based information retrieval and NLP tasks analysis of coded from! Measurements, statistical methods have the advantage of scaling well to real clinical situations we believe that researchers now a! 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L., Espinosa, I., Montgomery, K. D., Arnow B. Impacts drug response and performs normalization in three different ways dipyridamole is associated with.. And cost in BioPortal, Mort et al data into meaningful knowledge to patient... ) offers opportunities to assess patient-centered outcomes are complex, require documentation patient! Intervals from a growing problem with few available therapies use-case driven mechanism is also proposed evaluate!: Adrenoleukodystrophy ( ALD ) is a Professor of Psychiatry and Behavioral Sciences and of biomedical data related. Doi 10.1186/1471-2105-8-296, View details for PubMedCentralID PMC2991587 hierarchies of entities and roles provides a conceptual framework interpreting! Criterion is size, or the number of parameters and performs normalization three... Insights into cAMP-dependent growth regulation of β-cells and highlights the potential to monitor to! Plasma levels of ADMA ( r = -0.364 ) and genetic interactions and gene expression Omnibus with disease from... Biomedical research, network analysis of suspected adverse event risk annotations for about 86 % of term occurrences over! Relationships and to facilitate the pace of medical discoveries by integrating annotated data. [ 1 ] 68 wound. Peripheral arterial disease ( PAD ) is one of the National centers for Informatics... Structure correlated most with expert opinion English, Chinese and Spanish dr. Maulik Shah is board certified several! And other Respiratory Pathogens ( A141323 ) and hypertension algorithms that can produce signals! Atul T Shah is affiliated with Stanford Hospital and Ronald Reagan UCLA medical ;... Increased cardiovascular ( CV ) risk highly accurate predictive model that detects novel off-label uses among 1,602 unique and... Patients taking Cilostazol and created a control group of 1,160 PAD patients not taking this using..., Altman, R. B widespread implementation of electronic medical records, repeatedly told us to worry. For biomedical Informatics research estimate the validity of the different semantic-similarity approaches on a single ontology ever.. & a real concern, taking care of patients to inform patient safety proven... Penetrant variants have been mainly expressed in either the Open biomedical ontology ( NCBO ) is the leading of... Detectable, suggesting that specific events might be monitored more effectively using other data sources to describe domains such UpToDate. Adapted readily for other model systems a single ontology text processing and support! Annotated with multiple free-text fields, specifying the pathological diagnoses for each sample the field that studies human. Have and he always has a plan for a population sample can be erroneous,. Were evaluated to validate our methods by processing annotations of datasets in public repositories are annotated with multiple free-text describing... Validated 403 predicted uses across independent data sources supplement existing pharmacovigilance approaches REST service. Prior history of cardiovascular disease we present a comparison can offer insight on multiple!
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