Leveraging Biomedical and Healthcare Data

<p>Part I Understanding Molecular Architecture of Disease Using Big Data1. Curation of molecular data pertaining to human cancer and the Cancer Genome Atlas Initiative 2. Merging data from published literature to understand the sequence of disease pathology 3. Predicting potential therapeutic targets using drug-gene and gene-disease associations 4. Combination of graph theory and big data analysis in genomics and proteomics 5. Challenges in sharing, standardization and dissemination of molecular big data</p> <p>Part II Guiding Health Care Decisions Using Big Data6. Towards a unified version of EMR corpora and data systems7. Natural language processing and computational linguistics in EMR analysis8. Orienting infectious disease management using Big Data9. Modeling disease burden using big data10. Automated diagnosis and risk factor prediction based on natural language processing</p> <p>Part III Online Repositories and In-Silico Research in the Era of Big Data11. Curating a brain connectome using Big Data12. Genotype and phenotype associations using online clinical repositories – a step-wise approach13. In-silico pharmacology and cost- and time- effective approaches in drug discovery14. Guided and semi-automatic approaches for clinical meta-analyses15. Towards a unified language in molecular big data</p>