Publications by authors named "Victor Emanoel Armini Caldas"
Article Synopsis
- The increasing number of patients with temporomandibular disorders (TMD) and the diagnostic challenges faced by general dentists highlight the need for artificial intelligence in improving TMD diagnosis.
- This study assessed a machine-learning model that classifies TMDs using patient data aligned with the International Classification of Orofacial Pain.
- Results showed the model could accurately classify joint pain at 84% and myofascial pain at 78%, indicating that decision tree-based machine learning can significantly aid in diagnosing TMD.
We describe the purification, crystallization and structure for the GTP-binding domain of human septin 7 (SEPT7G). We show that it forms filaments within the crystal lattice which employ both the G and NC interfaces, similar to those seen in the hetero-filament of SEPT2/6/7. The NC interface is considered promiscuous as it is absent from the hetero-filament.
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