Paper Title

3D Micro Physiological Disease Modelling and Tissue Engineering

Authors

Susanta Bera , Mrs. Mahalakshmi S , Dr. Kavitha P N , Kushal Roy

Keywords

Abstract

One of the biggest obstacles to drug discovery and therapeutic development is the creation of trustworthy and predictive preclinical models. Drug attrition rates during clinical trials are significant because traditional two-dimensional cell cultures and animal models frequently fall short of correctly simulating human physiology. In this context, three-dimensional (3D) micro physiological disease modelling combined with tissue engineering has emerged as a transformative technique to bridge the gap between in vitro investigations and human clinical outcomes. Important features of natural human tissues, such as three-dimensional design, extracellular matrix connections, mechanical pressures, and dynamic biochemical signalling, are replicated by 3D micro physiological systems. These systems offer physiologically relevant disease modelling across several organ systems by combining human-derived cells, microfluidics, and sophisticated biomaterials. Their implementation in drug screening allows more precise assessment of medication efficacy, toxicity, and pharmacokinetic behaviour compared to previous models. Additionally, the use of induced pluripotent stem cells and patient-derived cells has increased the function of micro physiological systems in customized treatment. These patient-specific models allow precision medicine by predicting unique medication reactions and optimizing therapy tactics. Artificial intelligence and omics technologies work together to improve translational relevance, model validation, and data interpretation. All things considered, tissue engineering and 3D micro physiological disease modelling are effective methods for increasing the effectiveness of medication discovery, lowering the need for animal testing, and developing individualized healthcare. Their implementation in pharmaceutical research and clinical applications is anticipated to accelerate with further technological advancement, regulatory acceptability, and interdisciplinary cooperation.

How To Cite

"3D Micro Physiological Disease Modelling and Tissue Engineering", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 6, page no.b532-b542, June-2026, Available :https://rjpn.org/JETNR/papers/JETNR2606179.pdf

Issue

Volume 4 Issue 6, June-2026

Pages : b532-b542

Other Publication Details

Paper Reg. ID: JETNR_235211

Published Paper Id: JETNR2606179

Downloads: 00054

Research Area: Pharmacy All

Country: Bengaluru, Karnataka, India

Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2606179

Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2606179

About Publisher

ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: RJPN (IJPublication) Janvi Wave

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