Training and Technology Acceptance of ChatGPT in University Students of Social Sciences: A Netcoincidental Analysis.

This study analyzes the perception and usage of ChatGPT based on the technology acceptance model (TAM). Conducting reticular analysis of coincidences (RAC) on a convenience survey among university students in the social sciences, this research delves into the perception and utilization of this artificial intelligence tool. The analysis considers variables such as gender, academic year, prior experience with ChatGPT, and the training provided by university faculty.

Inflammatory Markers and Radiotherapy Response in Patients With Painful Bone Metastases.

Context: Inflammation is proposed to influence tumor response in radiotherapy (RT). Clinical studies to investigate the relationship between inflammatory markers and RT response is warranted to understand the variable RT efficacy in patients with painful bone metastases.

Objectives: To evaluate the association between inflammatory markers and analgesic response to RT in patients with painful bone metastases.

Clinical Predictors for Analgesic Response to Radiotherapy in Patients with Painful Bone Metastases.

Background: Radiotherapy (RT) reduces pain in about 60% of patients with painful bone metastases, leaving many patients without clinical benefit. This study assesses predictors for RT effectiveness in patients with painful bone metastases.

Materials And Methods: We included adult patients receiving RT for painful bone metastases in a multicenter, multinational longitudinal observational study.

The Palliative Radiotherapy and Inflammation Study (PRAIS) - protocol for a longitudinal observational multicenter study on patients with cancer induced bone pain.

Background: Radiation therapy (RT) results in pain relief for about 6 of 10 patients with cancer induced bone pain (CIBP) caused by bone metastases. The high number of non-responders, the long median time from RT to pain response and the risk of adverse effects, makes it important to determine predictors of treatment response. Clinical features such as cancer type, performance status and pain intensity, and biomarkers for osteoclast activity are proposed as predictors of response to RT.