To compare the acute effects of aquatic walking/running versus dry-land walking/running on blood glucose and plasma renin activity (PRA) in individuals with type 2 diabetes, participants with type 2 diabetes performed deep-water or dry-land walking and/or running sessions in a swimming pool or on an athletics track, respectively. Both sessions comprised seven blocks of 3… →
CONCLUSIONS: HA-WBRT-SIB is of efficiency and cognitive-conserving in treating Chinese lung cancer BM. →
This study evaluated the photoactivation of hydrogen peroxide gels at different concentrations using blue or violet LED in terms of whitening efficacy and tooth sensitivity. Forty patients were randomly divided into 4 groups: HP6V (violet LED and 6% hydrogen peroxide), HP6B (blue LED and 6% hydrogen peroxide), HP35V (violet LED and 35% hydrogen peroxide), and… →
High-dose inhaled Nitric Oxide (iNO) has been shown to have anti-inflammatory, vasodilator, and antimicrobial properties, resulting in improved arterial oxygenation as well as a beneficial therapeutic effect on lower respiratory tract infections. This study evaluated the safety and efficacy of 150-ppm intermittent iNO administered with a novel iNO-generator, for treating adults hospitalised for viral pneumonia.… →
BACKGROUND: Early identification of an acute respiratory infection is important for reducing transmission and enabling earlier therapeutic intervention. We aimed to prospectively evaluate the feasibility of home-based diagnostic self-testing of viral pathogens in individuals prompted to do so on the basis of self-reported symptoms or individual changes in physiological parameters detected via a wearable sensor. →
CONCLUSION: Our results indicate that in this study NE3107 was associated with what appear to be positive neurophysiological and neuropsychological findings, as well as evidence of improvement in biomarkers associated with neuroinflammation and AD in patients diagnosed with dementia. Our findings are consistent with previous preclinical and clinical observations and highlight a central role of… →
In the past decade, the data-driven method utilizing deep neural networks has driven artificial intelligence success in various challenging applications across different fields. These advancements address multiple issues; however, existing methodologies face the challenge in data science applications, especially in fields such as biology, healthcare, and business due to the requirement for deep expertise and… →
OpenAI has recently announced the development of SearchGPT, a groundbreaking prototype that revolutionizes how users search for information online. This new AI-driven search feature combines the strengths of OpenAI’s conversational models with real-time web data, promising to deliver fast, accurate, and contextually relevant answers. SearchGPT is currently in a testing phase and is available to… →
Designing computational workflows for AI applications, such as chatbots and coding assistants, is complex due to the need to manage numerous heterogeneous parameters, such as prompts and ML hyper-parameters. Post-deployment errors require manual updates, adding to the challenge. The study explores optimization problems aimed at automating the design and updating of these workflows. Given their… →
Large Language Models (LLMs) are a subset of artificial intelligence focusing on understanding and generating human language. These models leverage complex architectures to comprehend and produce human-like text, facilitating applications in customer service, content creation, and beyond. A major challenge with LLMs is their efficiency when processing long texts. The Transformer architecture they use has… →