CONCLUSIONS: The online teaching-back method, guided by King’s Theory of Goal Attainment, effectively enhances glycemic control, reducing fasting plasma glucose, 2-hour postprandial glucose, and hemoglobin A(1c) levels in newly diagnosed patients with type 2 diabetes. Simultaneously, it alleviates hypoglycemia-related anxiety and mitigates alexithymia. This approach merits widespread promotion and implementation in clinical settings. →
OBJECTIVES: The objective of this study was to estimate the incidence, timing, and type of new cancer diagnosis among patients with cryptogenic stroke. →
INTRODUCTION: Administration of spinal cord stimulation to individuals with PSPS-T1/2 may induce supraspinal descending activation. Similarly, exercise is recognized as a fundamental aspect of spinal pain management. Studies have demonstrated its impact on neurophysiological factors, including the release of spinal and supraspinal beta-endorphins, which activate μ-opioid receptors. Therefore, the purpose of this study will be… →
CONCLUSIONS: Tegoprubart appeared to be safe and well tolerated in adults with ALS demonstrating dose-dependent reduction in pro-inflammatory chemokines and cytokines associated with ALS. These results warrant further clinical studies with sufficient power and duration to assess clinical outcomes as a potential treatment for adults with ALS. →
In recent years, the surge in large language models (LLMs) has significantly transformed how we approach natural language processing tasks. However, these advancements are not without their drawbacks. The widespread use of massive LLMs like GPT-4 and Meta’s LLaMA has revealed their limitations when it comes to resource efficiency. These models, despite their impressive capabilities,… →
In the fast-moving world of artificial intelligence and machine learning, the efficiency of deploying and running models is key to success. For data scientists and machine learning engineers, one of the biggest frustrations has been the slow and often cumbersome process of loading trained models for inference. Whether models are stored locally or in the… →
In the vast world of AI tools, a key challenge remains: delivering accurate, real-time information. Traditional search engines have dominated our digital lives, helping billions find answers, yet they often fall short in providing personalized, conversational responses. Large language models like OpenAI’s ChatGPT transformed how we interact with information, but they were limited by outdated… →
CONCLUSION: The application of autologous PRP injection therapy in KOA patients can significantly improve their levels of related biomarkers, effectively improve knee joint function and motor function, and have good clinical efficacy. →
Accurate initial staging of patients with breast cancer is essential for planning optimal treatment strategies. However, currently, no imaging modality is able to detect lymph node metastases preoperatively with sufficient reliability; therefore, the N status depends on the sentinel node procedure for ~ 70% of patients. In a prospective clinical trial of breast cancer patients,… →
The widespread adoption of large language models (LLMs) has ushered in significant advancements across fields such as conversational AI, content generation, and on-device applications. However, the heavy reliance on extensive cloud resources to deploy these models raises concerns about latency, cost, and environmental sustainability. Trillion-parameter models like GPT-4 demand immense computational power, making the financial… →