Abstract Background The World Health Organization issued recommendations to guide the process of integrating mental health services into primary healthcare.However, there has been general as well as context specific shortcomings in the implementation of these recommendations.In Uganda, mental health services are intended to be decentralized and int
Autism spectrum disorder (ASD) presents diagnostic challenges due to its heterogeneous nature, necessitating advanced methods for accurate identification.This study proposes a novel diagnostic approach that integrates Graph convolutional networks (GCN) with dual transformer architectures, optimized through a Co-training strategy.The first Transform
Aim: The aim of this study was to analyze and follow-up implants placed in the posterior maxillary regions previously grafted with homologous bone.Materials Timber Connectors and Methods: Forty-one grafts with homologous bone blocks were performed in maxillary sinuses, and 121 implants were placed in premolar and molar regions approximately 6 month
BackgroundA second primary malignant tumor is one of the most important factors affecting the long-term survival of young women with breast cancer (YWBC).As one of the main treatments for breast cancer YWBC patients, postoperative radiotherapy (PORT) may increase the risk of second primary malignancy (SPM).MethodsMachine learning components, includ