Advancing Asthma Management: The Synergy of Systems Biology, Artificial Intelligence, and Next-Generation Therapeutics

Year : 2025 | Volume : 14 | Issue : 02 | Page : 1 12
    By

    Amit Jain,

  • Pankaj Chasta,

  • Kamalesh Mistry,

  • Aftab Alam,

  • Shesh Kumar,

  • Mritunjay Kumar Mahto,

  1. Research Scholar, Department of Pharmacy, Faculty of Pharmaceutical Science, Mewar University, Gangrar, Chittorgarh, Rajasthan, India
  2. Assistant Professor, Department of Pharmacy, Faculty of Pharmaceutical Science, Mewar University, Gangrar, Chittorgarh, Rajasthan, India
  3. Assistant Professor, Department of Pharmacy, Faculty of Pharmaceutical Science, Mewar University, Gangrar, Chittorgarh, Rajasthan, India
  4. Lecturer, Department of Pharmacy, Faculty of Pharmaceutical Science, Mewar University, Gangrar, Chittorgarh, Rajasthan, India
  5. Research Scholar, Department of Pharmacy, Faculty of Pharmaceutical Science, Mewar University, Gangrar, Chittorgarh, Rajasthan, India
  6. Research Scholar, Department of Pharmacy, Faculty of Pharmaceutical Science, Mewar University, Gangrar, Chittorgarh, Rajasthan, India

Abstract

Asthma is an inflammatory disorder of the respiratory tract that is chronic and heterogeneous in nature and has various effects on millions of people. Being a chronic inflammatory disease, asthma remains incurable and the major conventional treatments offer limited success due to the mask nature of its pathophysiology. Systems biology/(AI), and next-generation has greatly enhanced knowledge and the management of asthma. The approaches based on gene, transcript, protein, and metabolite profiling known as omics help systems biology to explain disease processes and endotype heterogeneity. In this context, artificial intelligence to improve diagnostic capabilities, predict disease flare-ups and customize the treatments with the help of the medical decision-making tools applying artificial neural networks and machine learning systems. Moreover, AI has contributed to identifying new asthma biomolecules and new drugs by using vast biomedical databases. Newer molecules like anti-IgE, anti-IL-5, anti-IL-13 and anti-TSLP are showing a much better control of the disease in severe asthmatics. We have available today a range of techniques such as CRISP based gene editing, mRNA therapeutics, as well as siRNA interventions that could be used for modulating the inflammatory response pathways. Moreover, the microbiome-directed therapies as well as immunomodulators have emerged as the more effective therapy options to treat asthma through modulation of immune imbalance at the gut-lung interface. Various mathematical models and computational simulation have significantly helped a lot in predicting drug responses and also used in developing control strategies to improve precision medicine. However, steps more are needed like the legal issues, the ethical issues which are critical and how the software can be implemented into the clinical practice. In expanding this review, the author sought to outline the impact of systems biology as well as artificial intelligence and innovative therapies for asthma in offering change in the paradigm of respiratory medicine including moving towards a data-driven, individualized and precision-based asthma treatment.

Keywords: Asthma, Systems Biology, Artificial Intelligence, Next-Generation Therapeutics, and Precision Medicine: A Transformative Approach to Treatment.

[This article belongs to Research and Reviews : A Journal of Medical Science and Technology ]

How to cite this article:
Amit Jain, Pankaj Chasta, Kamalesh Mistry, Aftab Alam, Shesh Kumar, Mritunjay Kumar Mahto. Advancing Asthma Management: The Synergy of Systems Biology, Artificial Intelligence, and Next-Generation Therapeutics. Research and Reviews : A Journal of Medical Science and Technology. 2025; 14(02):1-12.
How to cite this URL:
Amit Jain, Pankaj Chasta, Kamalesh Mistry, Aftab Alam, Shesh Kumar, Mritunjay Kumar Mahto. Advancing Asthma Management: The Synergy of Systems Biology, Artificial Intelligence, and Next-Generation Therapeutics. Research and Reviews : A Journal of Medical Science and Technology. 2025; 14(02):1-12. Available from: https://journals.stmjournals.com/rrjomst/article=2025/view=208739


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Regular Issue Subscription Review Article
Volume 14
Issue 02
Received 04/04/2025
Accepted 08/04/2025
Published 25/04/2025
Publication Time 21 Days
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