CONCLUSIONS: Compared to Coulter and QBC®, mean HemoCue® measured Hb concentrations were lower and, compared to the Coulter or QBC® methods, had an overall tendency to measure lower Hb concentrations with increasing Hb concentrations. Upper and lower limits of agreement were wider than the predefined clinically acceptable limits of ± 0.5 g/dL. HemoCue® should be… →
CONCLUSIONS: Even though the effects of NAC were observed in lowering the duration of the period and decreasing the frequency of bowel movements in gastroenteritis, these results did not reach statistical significance. Hence, the data from this study suggest that NAC may not effectively reduce the duration of diarrhea and the frequency of bowel movements… →
CONCLUSION: The use of the DT showed significant improvements in pain and function compared to the current standard therapy. These results are highly relevant for clinical practice in the treatment decision-making for patients with anterior knee pain as the DT bridges effectively gaps in the healthcare systems. →
CONCLUSION: Intensive water-salt diet nursing interventions effectively control blood pressure, reduce volume load, and mitigate complications in chronic renal failure patients. This approach should be widely implemented in clinical practice. →
CONCLUSION: The low-carbohydrate/high-monounsaturated fatty acid formula improved post-gastrectomy night-time hypoglycaemia, but not daytime glycaemic variability or hypoglycaemia. Thus, further investigation of nutritional optimization is required. →
In the field of artificial intelligence, two persistent challenges remain. Many advanced language models require significant computational resources, which limits their use by smaller organizations and individual developers. Additionally, even when these models are available, their latency and size often make them unsuitable for deployment on everyday devices such as laptops or smartphones. There is… →
In this tutorial, we will learn how to build an interactive health data monitoring tool using Hugging Face’s transformer models, Google Colab, and ipywidgets. We walk you through setting up your Colab environment, loading a clinical model (like Bio_ClinicalBERT), and creating a user-friendly interface that accepts health data input and returns interpretable disease predictions. This… →