Beyond Qualitative Assessment: Computing Molecular Engineering in Regenerative Medicine
DOI:
https://doi.org/10.55578/amsr.2603.002Keywords:
Artificial Intelligence (AI), Biomedical Engineering (BME), Deep Learning (DL), Machine Learning (ML), Molecular Engineering, Regenerative Medicine, Tissue EngineeringAbstract
While molecular engineering has fundamentally altered the medical landscape, the post-pandemic era necessitates a more rigorous, data-driven examination of clinical pathologies. This work gives a comprehensive evaluation and introduces an integrated computational methodology that bridges the gap between regenerative medicine and medical informatics. By leveraging the KNIME analytics environment, a multi-stage pipeline was developed to execute data mining and refined preprocessing for the isolation of high-fidelity datasets. The investigation centers on the practical deployment of biomaterials, specifically evaluating the mechanical efficacy of organ-on-a-chip systems and tissue scaffolds. Through high-resolution design prototyping, the proposed framework is benchmarked against conventional computing paradigms. Computational analysis of these models reveals predictive accuracies surpassing 90% while highlighting significant enhancements in cell viability metrics. Furthermore, the research dissects critical barriers to clinical translation, including the intricacies of 3D bioprinting vascularization and the regulatory landscape governing AI-integrated digital twins. These findings provide a scalable architecture for precision medicine, aligning digital modeling with the complexities of real-world therapeutic delivery.
References
[1] Zarif Bin Akhtar. Artificial intelligence within medical diagnostics: A multi-disease perspective. Artificial Intelligence in Health 5173. https://doi.org/10.36922/aih.5173
[2] Zhong, Z., Yang, S., Chen, F., Du, Z. H., Liu, N., & Zhang, H. (2025). Molecular engineering strategies of cationic oligo (p-phenyleneethynylene) s for enhancing sensitive discrimination of multiple hazardous explosives. Chemical Engineering Journal, 161558.
[3] Akhtar, Z.B.: The design approach of an artificial intelligent (AI) medical system based on electronical health records (EHR) and priority segmentations. J. Eng. 2024, 1–10 (2024). https://doi.org/10.1049/tje2.12381
[4] Zhan, J., Wang, S., Li, X., & Zhang, J. (2025). Molecular engineering of functional DNA molecules toward point-of-care diagnostic devices. Chemical Communications.
[5] Rani, A., Zafar, F., Hussain, R., Zafar, W. U. I., Khanum, A., & Adnan, M. (2024). Molecular engineering of benzothiadiazole core based non-fullerene acceptors to tune the optoelectronic properties of perovskite solar cells. Computational and Theoretical Chemistry, 1237, 114637.
[6] Lin, N., Tsuji, M., Bruzzese, I., Chen, A., Vrionides, M., Jian, N., ... & Mani, T. (2024). Molecular engineering of emissive molecular qubits based on spin-correlated radical pairs. Journal of the American Chemical Society.
[7] Cheng, Y., Wang, T., Zhu, H., Hu, X., Mi, J., Li, L., ... & Xue, B. (2025). Molecular Engineering of Amino Acid Crystals with Enhanced Piezoelectric Performance for Biodegradable Sensors. Angewandte Chemie, e202500334.
[8] Liu, Y., Song, Y., Zhu, Z. H., Ji, C., Li, J., Jia, H., ... & Feng, G. (2025). Twisted‐planar molecular engineering with sonication‐induced J‐aggregation to design near‐infrared J‐aggregates for enhanced phototherapy. Angewandte Chemie, 137(7), e202419428.
[9] Sun, W., Xue, B., Fan, Q., Tao, R., Wang, C., Wang, X., ... & Cao, Y. (2020). Molecular engineering of metal coordination interactions for strong, tough, and fast-recovery hydrogels. Science Advances, 6(16), eaaz9531.
[10] Lv, G., & Zhu, J. (2025). Intrinsic Thermal Conductivity of Molecular Engineered Polymer. Advanced Functional Materials, 2420708.
[11] Wan, Q., Zhang, R., Zhuang, Z., Li, Y., Huang, Y., Wang, Z., ... & Tang, B. Z. (2020). Molecular engineering to boost AIE‐active free radical photogenerators and enable high‐performance photodynamic therapy under hypoxia. Advanced Functional Materials, 30(39), 2002057.
[12] Yang, R., Ai, D., Fan, S., Zhang, W., Yang, X., Lv, F., ... & Yu, X. (2025). Aramid dielectric co-polymer: from molecular engineering to roll-to-roll scalability for high-temperature capacitive energy storage. Energy & Environmental Science.
[13] Huang, Y., Liu, T., Huang, Q., & Wang, Y. (2024). From organ-on-a-chip to human-on-a-chip: A review of research progress and latest applications. ACS sensors, 9(7), 3466-3488.
[14] Sun, S. (2024). Research of Organ-on-a-chip and its application. In E3S Web of Conferences (Vol. 553, p. 05012). EDP Sciences.
[15] Sadeghzade, S., Hooshiar, M. H., Akbari, H., Tajer, M. H. M., Sahneh, K. K., Ziaei, S. Y., ... & Akouchakian, E. (2024). Recent advances in Organ-on-a-Chip models: How precision engineering integrates cutting edge technologies in fabrication and characterization. Applied Materials Today, 38, 102231.
[16] Zhao, Y., Landau, S., Okhovatian, S., Liu, C., Lu, R. X. Z., Lai, B. F. L., ... & Radisic, M. (2024). Integrating organoids and organ-on-a-chip devices. Nature Reviews Bioengineering, 2(7), 588-608.
[17] He, C., Lu, F., Liu, Y., Lei, Y., Wang, X., & Tang, N. (2024). Emergent trends in organ-on-a-chip applications for investigating metastasis within tumor microenvironment: A comprehensive bibliometric analysis. Heliyon, 10(1).
[18] Song, S. H., & Jeong, S. (2024). State-of-the-art in high throughput organ-on-chip for biotechnology and pharmaceuticals. Korean Journal of Fertility and Sterility.
[19] Sean, G., Banes, A. J., & Gangaraju, R. (2024). Organoids and tissue/organ chips. Stem Cell Research & Therapy, 15(1), 241.
[20] Li, X., Zhu, H., Gu, B., Yao, C., Gu, Y., Xu, W., ... & Li, D. (2024). Advancing intelligent organ‐on‐a‐chip systems with comprehensive in situ bioanalysis. Advanced Materials, 36(18), 2305268.
[21] Nasiri, R., Zhu, Y., & de Barros, N. R. (2024). Microfluidics and organ-on-a-chip for disease modeling and drug screening. Biosensors, 14(2), 86.
[22] Gunasekaran, B. M., Srinivasan, S., Ezhilan, M., Rajagopal, V., & Nesakumar, N. (2024). Advancements in Organ‐on‐a‐Chip Systems: Materials, Characterization, and Applications. ChemistrySelect, 9(40), e202403611.
[23] Huang, X., Lou, Y., Duan, Y., Liu, H., Tian, J., Shen, Y., & Wei, X. (2024). Biomaterial scaffolds in maxillofacial bone tissue engineering: a review of recent advances. Bioactive Materials, 33, 129-156.
[24] Z. B. Akhtar and V. Stany Rozario, "The Design Approach of an Artificial Human Brain in Digitized Formulation based on Machine Learning and Neural Mapping," 2020 International Conference for Emerging Technology (INCET), Belgaum, India, 2020, pp. 1-7, doi: 10.1109/INCET49848.2020.9154000.
[25] Bagherpour, R., Bagherpour, G., & Mohammadi, P. (2025). Application of artificial intelligence in tissue engineering. Tissue Engineering Part B: Reviews, 31(1), 31-43.
[26] Bauso, L. V., La Fauci, V., Longo, C., & Calabrese, G. (2024). Bone tissue engineering and nanotechnology: a promising combination for bone regeneration. Biology, 13(4), 237.
[27] Angolkar, M., Paramshetti, S., Gahtani, R. M., Al Shahrani, M., Hani, U., Talath, S., ... & Gundawar, R. (2024). Pioneering a paradigm shift in tissue engineering and regeneration with polysaccharides and proteins-based scaffolds: a comprehensive review. International Journal of Biological Macromolecules, 265, 130643.
[28] Akhtar, Z. B., & Rozario, V. S. (2025). AI Perspectives within Computational Neuroscience: EEG Integrations and the Human Brain. Artificial Intelligence and Applications. https://doi.org/10.47852/bonviewaia52024174
[29] Chen, A., Wang, W., Mao, Z., He, Y., Chen, S., Liu, G., ... & Lu, J. (2024). Multimaterial 3D and 4D bioprinting of heterogenous constructs for tissue engineering. Advanced Materials, 36(34), 2307686.
[30] Gou, Y., Huang, Y., Luo, W., Li, Y., Zhao, P., Zhong, J., ... & Fan, J. (2024). Adipose-derived mesenchymal stem cells (MSCs) are a superior cell source for bone tissue engineering. Bioactive Materials, 34, 51-63.
[31] Xu, C., Liu, Z., Chen, X., Gao, Y., Wang, W., Zhuang, X., ... & Dong, X. (2024). Bone tissue engineering scaffold materials: Fundamentals, advances, and challenges. Chinese Chemical Letters, 35(2), 109197.
[32] Jafari, A., Vahid Niknezhad, S., Kaviani, M., Saleh, W., Wong, N., Van Vliet, P. P., ... & Savoji, H. (2024). Formulation and Evaluation of PVA/Gelatin/Carrageenan Inks for 3D Printing and Development of Tissue‐Engineered Heart Valves. Advanced Functional Materials, 34(7), 2305188.
[33] Shan, B. H., & Wu, F. G. (2024). Hydrogel‐based growth factor delivery platforms: strategies and recent advances. Advanced Materials, 36(5), 2210707.
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The various original data sources some of which are not all publicly available, because they contain various types of private information. The available platform provided data sources that support the exploration findings and information of the research investigations are referenced where appropriate.
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