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Bio-IT World provides breaking news, analysis, and opinion on enabling technologies that drive biomedical research and drug development, with emphasis on predictive biology, drug discovery, informatics, personalized medicine, and clinical trials. Bio-IT World focuses on the technologies deployed and strategic decisions made by companies in these areas, and their impact on performance.
As the biopharma industry transforms itself from empirical trial-and-error experimentation to an industry reliant upon information, computation, and prediction of outcomes, technologies such as high-throughput genotyping, microarray analysis, and bioinformatics are providing the means of gathering, interpreting, and analyzing biological, chemical, and clinical data to further drug discovery and development. Bio-IT World covers the latest developments in these fields.
Focus areas include:
Genomic analysis: next-generation sequencing, genome-wide association mapping, and data integration
Discovery informatics: collection, analysis and workflows of compound, microarray, proteomic, imaging, and pre-clinical and clinical data
Systems biology: gene, protein, metabolite, and network/pathway information
Computational modeling: biosimulations of pathways, drug action, and clinical data
Predictiveness: in vitro assays, biomarkers, and animal models
Cheminformatics: structure-based drug design, compound characterization, ADME-Tox, and selectivity
Correlation of biological data: disease diagnosis, patient selection, and drug response
Target data: biological, pathway, interaction, patent, and family
IT infrastructure: grid computing and high-performance computing
Text mining: internal documents and published literature
Semantic web: next-generation data sharing and social networking
Clinical research: electronic data capture, patient recruitment, and adaptive trials
Pharmacogenomics: diagnostics for therapeutics, patient stratification
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