This model combines the metabolic information of NRG4 with ultrasound morphological and hemodynamic features extracted using a CNN and long short-term memory (LSTM) network, aiming to improve prediction accuracy, enhance early diagnostic capabilities, and further elucidate the potential mechanisms of NRG4 in thyroid dysfunction and T2DM progression. This evidence concerns the gene NRG4 and type 2 diabetes mellitus.