Pathophysiology Reimagined: Integrating Systems Biology and AI for Disease Understanding

Year : 2025 | Volume : 16 | Issue : 02 | Page : 63 71
    By

    Bhagvansinh Chauhan,

  • Vraj Patel,

  • Aakash Solanki,

  • Aman Tiwari,

  • Shubham Singh,

  • Sanjesh Rathi,

  1. Student, Department of Pharmacy, School of Pharmacy, Rai University, Ahmedabad, Gujarat, India
  2. Student, Department of Pharmacy, School of Pharmacy, Rai University, Ahmedabad, Gujarat, India
  3. Student, Department of Pharmacy, School of Pharmacy, Rai University, Ahmedabad, Gujarat, India
  4. Assistant Professor, Department of Pharmacy, School of Pharmacy, Rai University, Ahmedabad, Gujarat, India
  5. Assistant Professor, Department of Pharmacy, School of Pharmacy, Rai University, Ahmedabad, Gujarat, India
  6. Professor and Principal, Department of Pharmacy, School of Pharmacy, Rai University, Ahmedabad, Gujarat, India

Abstract

Pathophysiology, the study of disease mechanisms at molecular, cellular, and systemic levels, has traditionally relied on reductionist approaches that often fail to capture the complex, dynamic, and interconnected nature of biological systems. Diseases such as cancer, neurodegenerative disorders, and infectious diseases arise from intricate interactions among genetic, epigenetic, metabolic, and environmental factors, necessitating integrative, data-driven methodologies for a deeper understanding. Systems biology has emerged as a powerful approach by leveraging multi-omics technologies, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics, to analyze disease mechanisms holistically. However, the vast and complex nature of multi-omics data presents significant challenges in integration, interpretation, and clinical application, requiring advanced computational tools. Simultaneously, artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), has revolutionized biomedical research, offering unprecedented capabilities in data analysis, biomarker discovery, disease prediction, and personalized treatment strategies. The integration of AI with systems biology presents a transformative paradigm shift in pathophysiology research, enabling more precise disease modeling, targeted therapies, and improved clinical outcomes. This review aims to explore the synergy between AI and systems biology, address key challenges such as data heterogeneity and algorithmic bias, and highlight real-world applications in neurodegenerative diseases, oncology, and infectious diseases. Despite the potential, gaps remain in fully integrating AI and systems biology for clinical translation, requiring further advancements in computational models and ethical considerations. By bridging these gaps, this review will serve as a valuable resource for researchers and clinicians, guiding the future of AI-driven pathophysiology research and personalized medicine.

Keywords: Pathophysiology, Systems Biology, Artificial Intelligence, Machine Learning, Multi-Omics Integration, Disease Modeling, Precision Medicine.

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

How to cite this article:
Bhagvansinh Chauhan, Vraj Patel, Aakash Solanki, Aman Tiwari, Shubham Singh, Sanjesh Rathi. Pathophysiology Reimagined: Integrating Systems Biology and AI for Disease Understanding. Research and Reviews: A Journal of Pharmaceutical Science. 2025; 16(02):63-71.
How to cite this URL:
Bhagvansinh Chauhan, Vraj Patel, Aakash Solanki, Aman Tiwari, Shubham Singh, Sanjesh Rathi. Pathophysiology Reimagined: Integrating Systems Biology and AI for Disease Understanding. Research and Reviews: A Journal of Pharmaceutical Science. 2025; 16(02):63-71. Available from: https://journals.stmjournals.com/rrjops/article=2025/view=211800


References

  1. Kumar, S., Saha, S., Singh, K., Singh, T., Mishra, A. K., Dubey, B. N., & Singh, S. (2024). Beneficial effects of spirulina on brain health: A systematic review. Current Functional Foods, 3(1), Article e120124225622. https://doi.org/10.2174/0126668629269256231222092721
  2. RaviKKumar VR, Rathi S, Singh S, Patel B, Singh S, Chaturvedi K, Sharma B. A Comprehensive Review on Ulcer and Their Treatment. Zhongguo Ying Yong Sheng Li Xue Za Zhi. 2023 Dec 21;39:e20230006. doi: 10.62958/j.cjap.2023.006. PMID: 38755116.
  3. Singh, V., Arora, S., Akram, W., Alam, S., Kumari, L., Kumar, N., Kumar, B., Kumar, S., Agrawal, M., Singhal, M., Kumar, S., Singh, S., Singh, K., Saha, S., & Dwivedi, V. (2024). Involvement of molecular mechanism and biological activities of Pemirolast: A therapeutic review. New Emirates Medical Journal, 5, Article e02506882308410. https://doi.org/10.2174/0102506882308410240607053814
  4. Rajput DS, Gupta N, Singh S, Sharma B. A Comprehensive Review: Personalized Medicine for Rare Disease Cancer Treatment. Zhongguo Ying Yong Sheng Li Xue Za Zhi. 2023 Dec 23;39:e20230008. doi: 10.62958/j.cjap.2023.008. PMID: 38830754.
  5. Singh S, Chaurasia A, Rajput DS, Gupta N. Mucoadhesive Drug Delivery System and There Future Prospective: Are a Promising Approach for Effective Treatment? Zhongguo Ying Yong Sheng Li Xue Za Zhi. 2023 Dec 20;39:e20230005. doi: 10.62958/j.cjap.2023.005. PMID: 38751344.
  6. Kumar, S., Saha, S., Sharma, B., Singh, S., Shukla, P., Mukherjee, S., Agrawal, M., Singh, K., & Singh, T. (2023). The role of resveratrol in Alzheimer’s disease: A comprehensive review of current research. Current Functional Foods, 2(2), Article e121223224364, 13 pages. https://doi.org/10.2174/0126668629269244231127071411
  7. Patel S, Ismail Y, Singh S, Rathi S, Shakya S, Patil SS, Bumrela S, Jain PC, Goswami P, Singh S. Recent Innovations and Future Perspectives in Transferosomes for Transdermal Drug Delivery in Therapeutic and Pharmacological Applications. Zhongguo Ying Yong Sheng Li Xue Za Zhi. 2024 Oct 24;40:e20240031. doi: 10.62958/j.cjap.2024.031. PMID: 39442957.
  8. Vaghela MC, Rathi S, Shirole RL, Verma J, Shaheen, Panigrahi S, Singh S. Leveraging AI and Machine Learning in Six-Sigma Documentation for Pharmaceutical Quality Assurance. Zhongguo Ying Yong Sheng Li Xue Za Zhi. 2024 Jul 18;40:e20240005. doi: 10.62958/j.cjap.2024.005. PMID: 39019923.
  9. Patel S, Ismail Y, Singh S, Rathi S, Shakya S, Patil SS, Bumrela S, Jain PC, Goswami P, Singh S. Recent Innovations and Future Perspectives in Transferosomes for Transdermal Drug Delivery in Therapeutic and Pharmacological Applications. Zhongguo Ying Yong Sheng Li Xue Za Zhi. 2024 Oct 24;40:e20240031. doi: 10.62958/j.cjap.2024.031. PMID: 39442957.
  10. Kumar, S., Saha, S., Pathak, D., Singh, T., Kumar, A., Singh, K., Mishra, A. K., Singh, S., & Singh, S. (2024). Cholesterol absorption inhibition by some nutraceuticals. Recent Advances in Food, Nutrition & Agriculture, 16(1), 2–11. https://doi.org/10.2174/012772574X285280240220065812
  11. 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
  12. Kumar, S., Singh, S., Rajput, D., Sharma, B., Chaturvedi, K., Singh, N., Saha, S., Singh, K., & Mukherjee, S. (2024). Pharmacological approaches and herbal interventions for Alzheimer’s disease. The Natural Products Journal, 14(8), Article e220124225945. https://doi.org/10.2174/0122103155275266231123090138
  13. Ravikkumar VR, Patel BD, Rathi S, Parthiban S, Upadhye MC, Shah AM, Rehan SSA, Samanta S, Singh S. Formulation and Evaluation of Drumstick Leaves Tablet as An Immunomodulator. Zhongguo Ying Yong Sheng Li Xue Za Zhi. 2024 Jun 21;40:e20240004. doi: 10.62958/j.cjap.2024.004. PMID: 38902996.
  14. 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.
  15. Dewangan, H. K., Singh, S., Mishra, R., & Dubey, R. K. (2020). A review on application of nanoadjuvant as delivery system. International Journal of Applied Pharmaceutics, 12(4), 24–33. https://doi.org/10.22159/ijap.2020v12i4.36856
  16. Singh S, Chaurasia A, Gupta N, Rajput DS. Effect of Formulation Parameters on Enalapril Maleate Mucoadhesive Buccal Tablet Using Quality by Design (QbD) Approach. Zhongguo Ying Yong Sheng Li Xue Za Zhi. 2024 Jun 27;40:e20240003. doi: 10.62958/j.cjap.2024.003. PMID: 38925868.
  17. Patel SK, Prathyusha S, Kasturi M, Godse KC, Singh R, Rathi S, Bumrela S, Singh S, Goswami P. Optimizing Irbesartan Fast Dissolving Tablets Using Natural Polysaccharides for Enhanced Drug Delivery and Patient Compliance. Int Res J Multidiscip Scope (IRJMS). 2025;6(1):1181-1190. https://doi.org/10.47857/irjms.2025.v06i01.02542
Regular Issue Subscription Review Article
Volume 16
Issue 02
Received 16/04/2025
Accepted 22/04/2025
Published 02/06/2025
Publication Time 47 Days
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