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Machine learning models trained on empirical data can be used to establish relationships between chemical properties and experimental outcomes, potentially guiding prioritization of formulation strategies (Reker et al., 2021

Tirzepatide overcomes these limitations by simultaneously activating both GIPR and GLP-1R, thereby harnessing their complementary mechanisms of action [25]

doi: 10.1590/S0100-879X2002000500011 151 OnoviranO

Lung nodule diagnosis and cancer histology classification from computed tomography data by convolutional neural networks: a survey

For example, reduced EAAT2 activity leads to elevated extracellular glutamate concentrations [309, 310], which trigger excessive calcium influx into both neurons and astrocytes

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