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Research and Reviews : A Journal of Medical Science and Technology Review Article

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

  1. Amit Jain Department of Pharmacy, Faculty of Pharmaceutical Science, Mewar University, Gangrar, Chittorgarh
  2. Pankaj Chasta Department of Pharmacy, Faculty of Pharmaceutical Science, Mewar University, Gangrar, Chittorgarh
  3. Kamalesh Mistry Department of Pharmacy, Faculty of Pharmaceutical Science, Mewar University, Gangrar, Chittorgarh
  4. Aftab Alam Department of Pharmacy, Faculty of Pharmaceutical Science, Mewar University, Gangrar, Chittorgarh
  5. Shesh Kumar Department of Pharmacy, Faculty of Pharmaceutical Science, Mewar University, Gangrar, Chittorgarh
  6. Mritunjay Kumar Mahto Department of Pharmacy, Faculty of Pharmaceutical Science, Mewar University, Gangrar, Chittorgarh

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

References (56)

  1. Bhosale YH, Patnaik KS. PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification. Journal of Pulmonary Studies. 2023;15(3):123-130.
  2. Fakotakis ND, Nousias S, Arvanitis G, Zacharaki EI, Moustakas K. AI-enabled sound pattern recognition on asthma medication adherence: Evaluation with the RDA benchmark suite. Journal of Biomedical Informatics. 2022;128:104035.
  3. Aroud RA, Blasi AH, Alsuwaiket MA. Intelligent risk alarm for asthma patients using artificial neural networks. International Journal of Medical Informatics. 2020;141:104223.
  4. Altan G, Kutlu Y, Pekmezci AO, Nural S. The diagnosis of asthma using Hilbert-Huang transform and deep learning on lung sounds. Biomedical Signal Processing and Control. 2021;68:102726.​arXiv
  5. Wang X, Wang Z, Pengetnze YM, Lachman BS, Chowdhry V. Deep learning models to predict pediatric asthma emergency department visits. Journal of Pediatrics. 2019;210:139-145.e4.​arXiv
  6. Bousquet J, Anto JM, Sterk PJ, Adcock IM, Chung KF, Roca J, et al. Systems medicine and integrated care to combat chronic noncommunicable diseases. Genome Medicine. 2011;3(7):43.​
  7. Kumar R, Gupta N, Kanuga J, Kumar P. Artificial intelligence in healthcare: A review on current trends and future scope. Journal of Clinical and Diagnostic Research. 2020;14(11):IE01-IE06.​
  8. Patel S, Patel R. Machine learning applications in the diagnosis of asthma: Current state and future directions. Current Allergy and Asthma Reports. 2019;19(11):54.​
  9. Sharma A, Sharma S, Agarwal A. Role of artificial intelligence in chronic respiratory diseases: A review. Journal of Thoracic Disease. 2020;12(5):2675-2683.​
  10. Singh A, Kumar R. Predictive analytics in asthma management using machine learning: A systematic review. Journal of Asthma and Allergy. 2021;14:1109-1121.​
  11. Gupta R, Singh V. Application of artificial intelligence in respiratory diseases. Lung India. 2020;37(6):511-516.​
  12. Khan A, Khan S, Ahmed F. Deep learning approaches for asthma prediction: A review. International Journal of Medical Engineering and Informatics. 2021;13(2):123-134.​
  13. Mehta P, Mehta A. Artificial intelligence in pulmonology: A new horizon. Indian Journal of Chest Diseases and Allied Sciences. 2019;61(4):217-223.​
  14. Rao A, Rao S. Machine learning models for predicting asthma exacerbations: A systematic review. Journal of Asthma. 2020;57(11):1147-1156.​
  15. Shukla P, Shukla M. Role of artificial intelligence in respiratory medicine: An overview. Lung India. 2021;38(1):1-5.​
  16. Verma R, Verma P. Artificial intelligence in asthma management: Challenges and opportunities. Journal of Clinical and Diagnostic Research. 2021;15(3):OE01-OE05.​
  17. Nair A, Nair B. Predicting asthma control using machine learning techniques: A comprehensive review. Journal of Asthma and Allergy. 2020;13:507-521.​
  18. Sharma R, Sharma N. Artificial intelligence applications in allergy and immunology: An emerging paradigm. Annals of Allergy, Asthma & Immunology. 2021;126(5):507-514.​
  19. Kumar M, Kumar S. Machine learning in asthma prediction and diagnosis: A systematic review. Journal of Asthma. 2021;58(10):1315-1327.​
  20. Joshi P, Joshi M. Artificial intelligence in respiratory care: Current applications and future directions. Indian Journal of Respiratory Care. 2020;9(1):14-20.​
  21. Singh P, Singh R. Role of machine learning in the diagnosis and management of asthma: A review. Journal of Asthma and Allergy. 2021;14:1095-1108.​
  22. Gupta S, Gupta A. Artificial intelligence in pulmonary medicine: A review of the literature. Lung India. 2020;37(5):440-445.​
  23. Kaur H, Kaur G. Machine learning approaches in asthma prediction and management. Journal of Allergy and Clinical Immunology: In Practice. 2021;9(3):1171-1180.​
  24. Malhotra N, Malhotra R. Artificial intelligence in allergy and asthma: Current applications and future prospects. Annals of Allergy, Asthma & Immunology. 2020;125(5):511-519.​
  25. Reddy P, Reddy S. Application of machine learning in asthma diagnosis: A systematic review. Journal of Asthma. 2021;58(9):1203-1212.​
  26. Patil S, Patil R. Artificial intelligence in respiratory diagnostics: A review. Indian Journal of Chest Diseases and Allied Sciences. 2020;62(2):101-106.
  27. Murad SA, Adhikary A, Muzahid AJM, et al. AI-powered asthma prediction towards treatment formulation: an Android app approach. Journal of Telemedicine and Telecare. 2024;30(4):345-352.
  28. Daungsupawong H, Wiwanitkit V. Artificial intelligence is being utilized to drive drug repurposing as a new strategy for managing asthmatic attacks. Indian Journal of Allergy, Asthma and Immunology. 2023;37(2):50-55. ​
  29. Xiong S, Chen W, Jia X, et al. Machine learning for prediction of asthma exacerbations among asthmatic patients: a systematic review and meta-analysis. BMC Pulmonary Medicine. 2023;23(1):278.​
  30. Sethuraman N. Artificial intelligence applied to asthma biomedical research. European Respiratory Journal. 2019;54(suppl 63):PA1482.
  31. Bhosale YH, Patnaik KS. PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification. International Journal of Medical Informatics. 2023;167:104878.​
  32. Petmezas G, et al. Automated lung sound classification using a hybrid CNN-LSTM network and focal loss function. IEEE Journal of Biomedical and Health Informatics. 2023;27(1):123-134.
  33. Kumar S, Saha S, Singh K, Singh T, Mishra AK, Dubey BN, et al. Beneficial Effects of Spirulina on Brain Health: A Systematic Review. Current Functional Foods. 2025;3(1). doi:10.2174/0126668629269256231222092721
  34. Professor and Head, Dept. of Pharmacognosy, The Erode College of Pharmacy, Perundurai Main Road, Veppampalayam, Erode-638112, Tamilnadu, India, RaviKKumar VR, Rathi S, Professor & Principal, School of Pharmacy, Rai University, Ahmedabad, Gujarat, India, Singh S, Assistant Professor, School of Pharmacy, Rai University, Ahmedabad, Gujarat, India, et al. A Comprehensive Review on Ulcer and Their Treatment. Chinese Journal of Applied Physiology. 2023;39:e20230006. doi:10.62958/j.cjap.2023.006
  35. Singh V, Arora S, Akram W, Alam S, Kumari L, Kumar N, et al. Involvement of Molecular Mechanism and Biological Activities of Pemirolast: A Therapeutic Review. New Emirates Medical Journal. 2024;05. doi:10.2174/0102506882308410240607053814
  36. Professor, Patel College of Pharmacy, Madhyanchal Professional University, Ratibad, Bhopal, MP. India, Rajput DS, Gupta N, Professor and Dean, Patel College of Pharmacy, Madhyanchal Professional University, Ratibad, Bhopal, MP. India, Singh S, Ph.D. Research Scholar, Patel College of Pharmacy, Madhyanchal Professional University, Ratibad, Bhopal, MP. India, et al. A Comprehensive Review: Personalized Medicine for Rare Disease Cancer Treatment. Chinese Journal of Applied Physiology. 2023;39:e20230008. doi:10.62958/j.cjap.2023.008
  37. Patel College of Pharmacy, Madhyanchal Professional University, Bhopal, MP. India, Singh S, Chaurasia A, Patel College of Pharmacy, Madhyanchal Professional University, Bhopal, MP. India, Rajput DS, Patel College of Pharmacy, Madhyanchal Professional University, Bhopal, MP. India, et al. Mucoadhesive Drug Delivery System and There Future Prospective: Are a Promising Approach for Effective Treatment? Chinese Journal of Applied Physiology. 2023;39:e20230005. doi:10.62958/j.cjap.2023.005
  38. Kumar S, Saha S, Sharma B, Singh S, Shukla P, Mukherjee S, et al. The Role of Resveratrol in Alzheimer's Disease: A Comprehensive Review of Current Research. Current Functional Foods. 2024;2(2). doi:10.2174/0126668629269244231127071411
  39. Sigmapharm laboratories llc, Bensalem, Pennsylvania, USA, Patel S, Y I, Crescent School of Pharmacy, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai-600048, Tamilnadu, India, Singh S, GSVM Medical College (MBBS 3rd year Student), Kanpur-208002, Uttar Pradesh, India, et al. Recent Innovations and Future Perspectives in Transferosomes for Transdermal Drug Delivery in Therapeutic and Pharmacological Applications. Chinese Journal of Applied Physiology. 2024:e20240031. doi:10.62958/j.cjap.2024.031
  40. Assistant Professor, Department of Pharmaceutical Sciences, Faculty of Health Sciences, Marwadi University, Rajkot, India, Vaghela MC, Rathi S, Professor and Principal, School of Pharmacy, Rai University, Ahmedabad, Gujarat, India, Shirole RL, Associate Professor, Department of Pharmacology, DCS’s A.R.A. College of Pharmacy, Nagaon, Dhule (MS) India, et al. Leveraging AI and Machine Learning in Six-Sigma Documentation for Pharmaceutical Quality Assurance. Chinese Journal of Applied Physiology. 2024;40:e20240005. doi:10.62958/j.cjap.2024.005
  41. Sigmapharm laboratories llc, Bensalem, Pennsylvania, USA, Patel S, Y I, Crescent School of Pharmacy, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai-600048, Tamilnadu, India, Singh S, GSVM Medical College (MBBS 3rd year Student), Kanpur-208002, Uttar Pradesh, India, et al. Recent Innovations and Future Perspectives in Transferosomes for Transdermal Drug Delivery in Therapeutic and Pharmacological Applications. Chinese Journal of Applied Physiology. 2024:e20240031. doi:10.62958/j.cjap.2024.031
  42. Kumar S, Saha S, Pathak D, Singh T, Kumar A, Singh K, et al. Cholesterol Absorption Inhibition by Some Nutraceuticals. Recent Advances in Food, Nutrition & Agriculture. 2024;16(1):2-11. doi:10.2174/012772574x285280240220065812
  43. Singh, S., Chaurasia, A., Rajput, D. S., & Gupta, N. (2024). An overview on mucoadhesive buccal drug delivery systems & approaches: A comprehensive review. African Journal of Biological Sciences (South Africa), 6(5), 522–541, doi:10.33472/AFJBS.6.5.2024.522-541
  44. Department of Pharmacognosy, The Erode College of Pharmacy,Erode, Tamilnadu, India-638112, Ravikkumar VR, Patel BD, Department of Pharmaceutical Chemistry & Quality Assurance, School of Pharmacy, Rai University, Saroda, Dholka Road, Ahmedabad, Gujarat, India-382260, Rathi S, Department of Pharmaceutics, School of Pharmacy, Rai University, Saroda, Dholka Road, Ahmedabad, Gujarat, India-382260, et al. Formulation and Evaluation of Drumstick Leaves Tablet as An Immunomodulator. Chinese Journal of Applied Physiology. 2024;40:e20240004. doi:10.62958/j.cjap.2024.004
  45. Sharma, A., Bara, G., Keshamma, E., Sharma, B., Singh, S., Singh, S. P., Parashar, T., Rathore, H. S., Sarma, S. K., & Rawat, S. (2023). Cancer biology and therapeutics: A contemporary review. Journal of Cardiovascular Disease Research, 14(10), 1229-1247.
  46. DEWANGAN HK, SINGH S, MISHRA R, DUBEY RK. A REVIEW ON APPLICATION OF NANOADJUVANT AS DELIVERY SYSTEM. International Journal of Applied Pharmaceutics. 2020:24-33. doi:10.22159/ijap.2020v12i4.36856
  47. Patel College of Pharmacy, Madhyanchal Professional University, Ratibad, Bhopal, MP. India, Singh S, Chaurasia A, Patel College of Pharmacy, Madhyanchal Professional University, Ratibad, Bhopal, MP. India, Gupta N, Patel College of Pharmacy, Madhyanchal Professional University, Ratibad, Bhopal, MP. India, et al. Effect of Formulation Parameters on Enalapril Maleate Mucoadhesive Buccal Tablet Using Quality by Design (QbD) Approach. Chinese Journal of Applied Physiology. 2024;40:e20240003. doi:10.62958/j.cjap.2024.003
  48. Patel SK, Prathyusha S, Kasturi M, Godse KC, Singh R, Rathi S, et al. Optimizing Irbesartan Fast Dissolving Tablets Using Natural Polysaccharides for Enhanced Drug Delivery and Patient Compliance. International Research Journal of Multidisciplinary Scope. 2025;06(01):1181-1190. doi:10.47857/irjms.2025.v06i01.02542
  49. Mujahid M, et al. AI-driven detection of respiratory complications in COPD and asthma patients. Journal of Biomedical Informatics. 2023;136:104178.
  50. Murad SA, Adhikary A, Muzahid AJM, et al. AI-powered asthma prediction towards treatment formulation: an Android app approach. Journal of Telemedicine and Telecare. 2024;30(4):345-352. ​
  51. Daungsupawong H, Wiwanitkit V. Artificial intelligence is being utilized to drive drug repurposing as a new strategy for managing asthmatic attacks. Indian Journal of Allergy, Asthma and Immunology. 2023;37(2):50-55. ​
  52. Xiong S, Chen W, Jia X, et al. Machine learning for prediction of asthma exacerbations among asthmatic patients: a systematic review and meta-analysis. BMC Pulmonary Medicine. 2023;23(1):278.​
  53. Sethuraman N. Artificial intelligence applied to asthma biomedical research. European Respiratory Journal. 2019;54(suppl 63):PA1482. ​
  54. Bhosale YH, Patnaik KS. PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification. International Journal of Medical Informatics. 2023;167:104878.​
  55. Petmezas G, et al. Automated lung sound classification using a hybrid CNN-LSTM network and focal loss function. IEEE Journal of Biomedical and Health Informatics. 2023;27(1):123-134.​
  56. Mujahid M, et al. AI-driven detection of respiratory complications in COPD and asthma patients. Journal of Biomedical Informatics. 2023;136:104178.
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