Breathogenomics: A Computational Architecture for Screening, Early Diagnosis and Genotyping of Lung Cancer

摘要: The genome sequences of some genes have been implicated to carry various mutations that lead the initiation and advancement lung cancer. In addition, it has scientifically established anytime we breathe out, chemicals called Volatile Organic Compounds (VOCs) are released from breath. Hundreds such VOCs uniquely identified samples collected cancer patients, which make them viable as chemical biomarkers for Based on foregoing scientific breakthroughs, developed breathogenomics, a computational architecture screening, early diagnosis genotyping victims anchored analysis exhaled breath mutational profiles genomic biomarkers. contains two important sub-modules. At first sub-module, breadths smokers or persons at risk appropriate algorithms employed determine presence any VOC Next, patient with biomarker in proceeds second models detection mutated genes. Once detected found given patient, is recommended targeted therapy promptly curtail progression advanced stages. breathogenomics serves generic template development clinical equipment based this paper, report preliminary result obtained prototype currently developing architecture. Constructing diagnosis/screening system when fully will hopefully minimize current spate deaths late disease.