CONCLUSION: It seems that both IMES and DN have promising effects for improving upper trapezius TrPs. However, IMES is more effective in some clinical and ultrasound parameters. In order to investigate the effects of this intervention more precisely more studies are necessary. →

CONCLUSIONS: Preventative herbal gel treatment can alleviate the radiation dermatitis-related symptoms with good safety, which indicates that gel could be an option for integration in patient care to improve RT in patients with breast, lung, and head and neck cancers. →

CONCLUSION: This post hoc analysis indicates that in patients with newly diagnosed advanced HRD-positive ovarian cancer, maintenance olaparib plus bevacizumab should not be limited to those considered at higher risk of disease progression. Five-year progression-free survival rates support long-term remission and suggest an increased potential for cure with particular benefit suggested in lower-risk HRD-positive patients. →

CONCLUSION: VIA with iodine improved detection of CIN2+ in women who were hrHPV DNA positive but was not significantly better than VIA alone. →

BACKGROUND: The intrauterine manipulator used during a hysterectomy for endometrial cancer has been suggested as a reason for worsening oncologic outcomes. However, only a few non-randomized retrospective studies have investigated this association. →

CONCLUSIONS: 10 HBOT sessions did not show more short-term benefits than placebo for long covid patients. Both groups improved, with a notable sex difference. HBOT has a favourable harm profile. →

CONCLUSION: Admission serum magnesium levels were found to correlate with hematoma expansion in patients with acute ICH. While magnesium itself may not be a direct therapeutic target, it could serve as a valuable indicator for identifying potential therapeutic strategies aimed at preventing ICH volume increase. →

A Coding Guide to Build a Finance Analytics Tool for Extracting Yahoo Finance Data, Computing Financial Analysis, and Creating Custom PDF Reports Extracting and analyzing stock data is key to informed decision-making in the financial landscape. This tutorial offers a comprehensive guide to building an integrated financial analysis and reporting tool in Python. We will… →

Reflection Begins in Pre-Training: Essential AI Researchers Demonstrate Early Emergence of Reflective Reasoning in LLMs Using Adversarial Datasets What sets large language models (LLMs) apart from traditional methods is their emerging capacity to reflect—recognizing when something in their response doesn’t align with logic or facts and then attempting to fix it. This ability, referred to… →

Traditional RAG Frameworks Fall Short: Megagon Labs Introduces ‘Insight-RAG’, a Novel AI Method Enhancing Retrieval-Augmented Generation through Intermediate Insight Extraction frameworks have gained attention for their ability to enhance LLMs by integrating external knowledge sources, helping address limitations like hallucinations and outdated information. Traditional RAG approaches often rely on surface-level document relevance despite their potential,… →
