Fractional Order In Vitro Fertilization Model Real Data Analysis with Novel Application of Inequalities via Stability and Computational Techniques
Manal Ghannam, Bilgen Kaymakamzade, Muhammad Farman, Kottakkaran Sooppy Nisar, Mohammed Altaf Ahmed
CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.081075
（This article belongs to the Special Issue:
Mathematical Aspects of Computational Biology and Bioinformatics-III)
Abstract In Vitro Fertilization (IVF) has been a major medical advancement in the field of fertility treatment. It has helped millions of individuals and couples overcome infertility by providing a workable option. It involves removing eggs from the ovaries of a female, fertilizing those eggs with male sperm in a monitored lab condition. In this work, we developed a new model to show the success of
In Vitro Fertilization rates in women through a fractional-order compartmental modeling framework by using real data. The developed model is analyzed statistically, and the biological feasibility of the model. The Lipschitz condition,…
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