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Integrative Multi-Omics for Precision Pulmonology
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Author(s): Soumi Ghosh (Maharaja Agrasen Institute of Technology, India)and Ritik Raj (Maharaja Agrasen Institute of Technology, India)
Copyright: 2026
Pages: 32
Source title:
Next-Generation Bioinformatics for Pulmonary Disease Research
Source Author(s)/Editor(s): Devvret Verma (Graphic Era University, India), Debasis Mitra (Graphic Era University, India), Bhavya Mudgal (Graphic Era University, India), Suraj Vitthaloo Atram (The University of Sheffield, UK)and Rokayya Sami (Taif University, Saudi Arabia)
DOI: 10.4018/979-8-3373-4923-7.ch009
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Abstract
Precision pulmonology is the revolution inside the field of respiratory medicine by means of transferring schedules to molecular levels. The current chapter shows how an integrative multi-omics approach of combining genomics, transcriptomics, proteomics, metabolomics and microbiomics has the potential to increase the precision of diagnosis and choice of treatment of pulmonary diseases. We designed novel data integration and machine learning systems to biomarker discovery as well as cross-winning support systems onto the domain of respiratory medicine. Our framework will be able to cover the major research gap of crossmodal data fusion, modeling the behavior of the dynamics, and deployment in the real-time clinical setting. The high outcome diagnostic (87.3%) and treatment response (92.1% sensitivity) and patient stratification were realised in an organised evaluation of asthma, COPD, lung cancer, and IPF. The present work lays out the groundwork in next-generation precision medicine applications in pulmonology.
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