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Machine learning for the diagnosis of early stage diabetes using temporal glucose profiles
Here we apply the machine learning (ML) for the diagnosis of early stage diabetes, which is known as a challenging task in medicine.
A Local Counter-Regulatory Motif Modulates the Global Phase of Hormonal Oscillations
By testing all possible motifs governing the interactions of these three cell types, we found that a unique set of positive/negative intra-islet interactions between different islet cell types functions not only to reduce the superficially wasteful zero-sum action of glucagon and insulin but also to enhance/suppress the synchronization of hormone secretions between islets under high/normal glucose conditions.
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