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@article{176415,
        author = {Shivam D Kulkarni and Kanchan S Tone and Akash V Gangane and Vishwajit R Ghodke and Tejas S Patil and Mohit D Chamkure and Mayur D Patil},
        title = {Bridging Disciplines: The Role of Computational Approaches in Toxicology and Risk Assessment},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {5572-5577},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176415},
        abstract = {In the spectrum of industrial sectors pharmaceuticals chemicals personal care products food additives and their associated regulatory agencies, there is a need to develop robust and reliable methods to reduce or test. It is generally recognized that no single alternative method will be able to provide a one-to-one replacement for assays based on more complex toxicological endpoints Hence information from a combination of techniques is required. A greater understanding of the time and concern Across traction-dependent mechanisms, underlying the interactions between chemicals and biological systems and the sequence of events that can lead to apical effects will help to move forward the science of reducing and replacing animal experiments. In silico modeling in vitro, assays high-throughput screening organ-on-a-chip technology omics and mathematical biology can provide complementary information to develop a complete picture of the potential response of an organism to a chemical stressor. Adverse outcome pathways (AOPs) and systems biology frameworks enable relevant information from diverse sources to be logically integrated. [1]},
        keywords = {},
        month = {April},
        }