INS and diabetes mellitus: This study proposes a Fully Recurrent Neural Network (FRNN) identification framework enhanced by a Fractional-Order (FO) learning algorithm (FRNN-FO) for modeling and identifying the chaotic behavior of insulin-glucose regulatory systems under various diabetes-related disorders.