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@article{173383,
        author = {Lalit Saini and Samyama Dadi Subramanyam},
        title = {Bioimpedance Methods for Real-Time Cell Growth Analysis Principles, Applications, and Future AI and Data Advancements in Healthcare},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {124-131},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173383},
        abstract = {Bioimpedance methods have emerged as a non-invasive, label-free alternative to traditional histological techniques, allowing for continuous monitoring of cell cultures and offering valuable insights into cellular health and dynamics. This paper explores the principles of bioimpedance measurement, its applications in cell growth analysis, and the potential integration of artificial intelligence (AI) and data analytics to enhance healthcare outcomes. Bioimpedance analysis (BIA) is a noninvasive, low cost, and a commonly used approach for body composition measurements and assessment of clinical condition.},
        keywords = {Bioimpedance Analysis, Real-Time Cell Monitoring, Machine Learning in Healthcare, AI in Bioimpedance, Non-Invasive Diagnostics, Predictive Analytics in Medicine, Tissue Engineering, Wearable Health Technology.},
        month = {February},
        }