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MO‐A‐12A‐01: Joint Imaging Education – Quantitative Imaging Symposium: Genomics and Image‐Omics for Medical Physicists
Author(s) -
Giger M,
Cowperthwaite M,
Markey M
Publication year - 2014
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4889115
Subject(s) - genomics , medical imaging , standardization , personalized medicine , precision medicine , big data , data science , computational biology , phenotype , computer science , bioinformatics , medicine , medical physics , artificial intelligence , biology , pathology , data mining , genetics , genome , gene , operating system
With the growth of quantitative imaging and quantitative image analysis, image‐based biomarkers (i.e. image‐based phenotypes) are becoming potential descriptors in personalized medicine, as well as in cancer discovery and neuroscience research. Thus, there is a need to understand (i) the quantitation and standardization involved with image‐based phenotypes and (ii) the aspects of datamining and association studies involved in “conventional” phenotype‐genotype studies. Imaging scientists and genomic scientists need to be able to speak the same language in this common era of Big Data. Learning Objectives: 1. Understand what are image‐based phenotypes and their potential medical significance. 2. Appreciate the complexity of Big Data. 3. Learn about genetic association studies.