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Clozapine for Treatment-Resistant Disruptive Behaviors in Youths With Autism Spectrum Disorder Aged 10-17 Years: Protocol for an Open-Label Trial.
JMIR Res Protoc
January 2025
Graduate Program of Psychiatry and Behavioral Sciences, Department of Psychiatry, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Background: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition emerging in early childhood, characterized by core features such as sociocommunicative deficits and repetitive, rigid behaviors, interests, and activities. In addition to these, disruptive behaviors (DB), including aggression, self-injury, and severe tantrums, are frequently observed in pediatric patients with ASD. The atypical antipsychotics risperidone and aripiprazole, currently the only Food and Drug Administration-approved treatments for severe DB in patients with ASD, often encounter therapeutic failure or intolerance.
View Article and Find Full Text PDFEvolution and Recent Radiation Therapy Advancement in Uganda: A Precedent on How to Increase Access to Quality Radiotherapy Services in Low- and Middle-Income Countries.
JCO Glob Oncol
January 2025
Uganda Cancer Institute, Department of Radiotherapy, Kampala, Uganda.
The evolution of radiation therapy in Uganda has been a journey marked by significant milestones and persistent challenges. Since the inception of radiotherapy services in 1988-1989, there has been a concerted effort to enhance cancer treatment services. The early years were characterized by foundational developments, such as the installation of the first teletherapy units, low-dose-rate brachytherapy units, and conventional simulators, and the recognition of radiation oncologists and medical physicist professionals laid the groundwork for radiotherapy treatment modalities.
View Article and Find Full Text PDFClinical Evaluation of the NaviNetics Stereotactic System Using Intraoperative Portable Surgical Imaging System in DBS Surgery.
Oper Neurosurg (Hagerstown)
November 2024
Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Background And Objectives: A typical workflow for deep brain stimulation (DBS) surgery consists of head frame placement, followed by stereotactic computed tomography (CT) or MRI before surgical implantation of the hardware. At some institutions, this workflow is prolonged when the imaging scanner is located far away from the operating room, thereby increasing workflow times by the addition of transport times. Recently, the intraoperative O-arm has been shown to provide accurate image fusion with preoperative CT or MR imaging, suggesting the possibility of obtaining an intraoperative localization scan and postoperative confirmation.
View Article and Find Full Text PDFThe involvement of non-governmental organisations in achieving health system goals based on the WHO six building blocks: A scoping review on global evidence.
PLoS One
January 2025
School of Health and Social Care, University of Essex, Colchester, United Kingdom.
Background: Non-governmental organisations (NGOs) have the potential to make a significant contribution to improving health system goals through the provision of resources, health services and community participation. Therefore, this paper examines the role of NGOs in achieving health system goals, based on the six building blocks of a health system framework, and identifies strategies to enhance NGO involvement in achieving health system goals.
Methods: A scoping systematic review methodology was used to map and synthesise the existing literature on the topic, following the latest JBI six-stage framework.
Generating context-specific sports training plans by combining generative adversarial networks.
PLoS One
January 2025
College of Education for the Future, Beijing Normal University, Zhuhai, Guangdong, China.
Personalized sports training plans are essential for addressing individual athlete needs, but traditional methods often need to integrate diverse data types, limiting adaptability and effectiveness. Existing machine learning (ML) and rule-based approaches cannot dynamically generate context-specific training programs, reducing their applicability in real-world scenarios. This study aims to develop a Generative Adversarial Network (GAN)- based framework to create context-specific training plans by integrating numeric attributes (e.
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