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The Ali Model demonstrated that age and use of diabetes medication best discriminate PDAC-associated diabetes in a study conducted exclusively in women, with some predictive effects of beta-blockers, lipid-modifying agents, and acid disorder drugs ( Figure 4B ) ( Figure 4B ) (98), while the XGBoost model uses weight loss, and rapid destabilization of glucose homeostasis as discriminating risk factors for PDAC-associated diabetes ( Figure 4B ) ( Potential biomarkers and identifiers of new-onset diabetes to distinguish PDAC-associated diabetes and T2D Apart from clinical markers of T1D and clinical evidence of PDAC-associated diabetes that distinguish from T2D within NOD populations, there is a need to establish clinically relevant and reliable non-invasive blood biomarkers for the differentiation of diabetes and further knowledge in independent fields of T2D and PDAC

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