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@article{195701,
        author = {K.V. Somwanshi},
        title = {Bridging Mathematics and Biology: Quantitative Approaches in LifeSciences},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {no},
        pages = {106-110},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195701},
        abstract = {Mathematics is one of the most essential tools for analyzing and modeling biological mechanisms. From population dynamics down to genomic sequencing, mathematical methodologies offer predictive frameworks, analytic tools, and computational models that further enhance our insight into life sciences. Exploring relevant central mathematical concepts, this paper demonstrates how differential equations, statistics, computational algorithms, and dynamical systems apply broadly to ecology, epidemiology, molecular biology, and neuroscience. We explore real-world case studies, discuss new emerging trends in systems biology and data-driven modeling, and address challenges in the times to come regarding interdisciplinarity. A synergy of mathematical rigor with biological complexity not only contributes to scientific discovery but also fosters innovation in medicine, environmental management, and biotechnology.},
        keywords = {Differential equations, Epidemiology, Ecology, PVA.},
        month = {March},
        }