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The Future of Respiratory Bioinformatics
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Author(s): Rahul Kumar (Department of Microbiology, Graphic Era University, Dehradun, India), Rachan Karmakar (Department of Environmental Science, Graphic Era University, Dehradun, India), B. E. Guerra Sierra (Exactas Naturales y Agropecuarias, University de Santander, Bucaramanga, Colombia)and Snežana Andjelković (Institute for Forage Crops, Bulgaria)
Copyright: 2026
Pages: 40
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.ch012
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Abstract
Respiratory bioinformatics is a fast-developing field that provides revolutionary information on the molecular mechanisms, pathogenesis, and individualized management of respiratory conditions. This chapter explores the potential future of respiratory bioinformatics, discussing innovations in the integration of data, artificial intelligence (AI), machine learning (ML), and multi-omics analysis to decipher intricate networks of respiratory diseases. From early diagnosis and predictive modeling to precision medicine and targeted therapies, bioinformatics has revolutionized the clinical and research paradigms of respiratory health. This chapter highlights the state-of-the-art advancements in big data analytics, high-throughput sequencing, and systems biology methodologies for the discovery of new biomarkers, drug targets, and disease signatures. It also covers imminent challenges, including data standardization, interoperability, and ethical aspects of bioinformatics-based research.
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