Ann Arbor / Rochester / Ontology / Baltimore / Marina del Rey / Atlanta / Graz / Darmstadt / /
Company
AEs / 2Merck KGaA / Google / MEDLINE / BioMed Central Ltd. / Creative Commons / /
Country
Germany / Poland / Austria / United States / / /
Facility
Sciences Institute / Mayo Clinic / Medical University of Graz / Laboratory Animal Medicine / University of Michigan Medical School / University of Graz / /
IndustryTerm
comparative and predictive systems / clinical applications / Web applications / text mining / ontology-based text mining / drug-food interactions / drug adverse event text mining / literature mining / clinical terminology systems / vaccine adverse event text mining / vaccination-associated gene interaction networks / semantic text mining strategy / vaccine-associated gene interaction networks / semantic web technologies / semantic enabled online service / ontology-based literature mining / adverse event text mining system / gene interaction networks / generic fever network / ontology-based literature mining approach / manufacturing / online submission / gene networks / Web technology framework / /
MedicalCondition
generic fever / cancer / disease / fever / human and animal diseases / /
MedicalTreatment
vaccination / /
Organization
Johns Hopkins School of Medicine / 3Information Sciences Institute / Food and Drug Administration / Center for Drugs / Center for Computational Medicine and Bioinformatics / Center for Disease Control / Center for Biologics / Program Committee / vaccine/drug administration / European Centre for Disease Prevention and Control / Medical University of Graz / FDA / Michigan Medical School / University of Graz / Department of Health / Department of Microbiology and Immunology / Unit for Laboratory Animal Medicine / /
An upper limit for macromolecular crowding effects