Evaluation of clinical trials addressing supportive care measures for management of acute and chronic radiation toxicities.

Purpose: Radiation therapy can cause acute and long-term side effects despite advances in treatment delivery techniques. While significant research has been conducted to prevent the occurrence of toxicity, there is a need for evidence-based supportive care measures to manage radiation side effects. This analysis aims to examine the current state of supportive care trials in radiation oncology and identify areas that require further study.

"I will take part in the revolution with our people": a qualitative study of healthcare workers' experiences of violence and resistance after the 2021 Myanmar coup d'etat.

Background: In Myanmar, ongoing conflict since the 2021 military coup d'etat has been characterized by targeted violence against health workers (HWs), particularly those participating in the pro-democracy movement. Existing knowledge about the challenges faced by health workers in Myanmar is scant, including their perspectives on mitigating their suffering and the broader impact on community health. This knowledge gap prompted our study to assess the extent of the violence, its impact on the workers and the community, and identify resource priorities.

The role of circular RNAs (circRNAs) as a prognostic factor in lung cancer: a meta-analysis.

Background: Lung cancer is a leading cause of cancer-related death worldwide. Among various histological types of lung cancer, majority are non-small cell lung cancer (NSCLC) which account for > 80%. Circular RNAs (circRNAs) are widely expressed in various cancers including lung cancer and implicated in tumourigenesis and cancer progression.

User experience of and satisfaction with computer-aided design software when designing dental prostheses: A multicenter survey study.

Aim: The current study aimed to compare the responses and satisfaction reported by users with varying levels of experience when using different types of computer-aided design (CAD) software programs to design crowns.

Materials And Methods: A questionnaire was used to evaluate user responses to five domains (software visibility, 3Dscanned data preparation, crown design and adjustment, finish line registration, and overall experience) of various CAD software programs. The study included 50 undergraduate dental students (inexperienced group) and 50 dentists or dental technicians from two hospitals (experienced group).

Deep learning and explainable artificial intelligence for investigating dental professionals' satisfaction with CAD software performance.

Purpose: This study aimed to examine the satisfaction of dental professionals, including dental students, dentists, and dental technicians, with computer-aided design (CAD) software performance using deep learning (DL) and explainable artificial intelligence (XAI)-based behavioral analysis concepts.

Materials And Methods: This study involved 436 dental professionals with diverse CAD experiences to assess their satisfaction with various dental CAD software programs. Through exploratory factor analysis, latent factors affecting user satisfaction were extracted from the observed variables.