Low back pain is a widespread public health concern owing to its high prevalence rates according to the Global Burden of Diseases. This study aimed to investigate the effect of exercise alone or in combination with manual therapy and kinesiotherapy on pain sensitivity, disability, kinesiophobia, self-efficacy, and catastrophizing in patients with chronic low back pain… →
Acute kidney injury (AKI) prevalence in surgical patients is high, emphasizing the need for preventative measures. This study addresses the insufficient evidence on nephroprotective intraoperative fluid resuscitation and highlights the drawbacks of relying solely on serum creatinine/urine output to monitor kidney function. This study assessed the impact of intraoperative fluid management on AKI in female… →
Non-alcoholic Fatty Liver Disease (NAFLD) and Non-alcoholic Steatohepatitis (NASH) are major metabolic diseases with increasing global prevalence and no approved therapies. There is a mounting need to develop biomarkers of diagnosis, prognosis and treatment response that can effectively replace current requirements for liver biopsies, which are invasive, error-prone and expensive. We performed SomaLogic serum proteome… →
Large Language Models (LLMs) have revolutionized the field of natural language processing, allowing machines to understand and generate human language. These models, such as GPT-4 and Gemini-1.5, are crucial for extensive text processing applications, including summarization and question answering. However, managing long contexts remains challenging due to computational limitations and increased costs. Researchers are, therefore,… →
CONCLUSIONS AND RELEVANCE: This randomized clinical trial found that pharmacist OAC prescription is a potentially high-yield opportunity to effectively close gaps in the delivery of stroke risk reduction therapy for AF. Scalability and sustainability of pharmacist OAC prescription will require larger trials demonstrating effectiveness and safety. →
Harvard researchers have recently unveiled ReXrank, an open-source leaderboard dedicated to AI-powered radiology report generation. This significant development is poised to revolutionize the field of healthcare AI, particularly in interpreting chest x-ray images. The introduction of ReXrank aims to set new standards by providing a comprehensive and objective evaluation framework for cutting-edge models. This initiative… →
Artificial intelligence, particularly in training large multimodal models (LMMs), relies heavily on vast datasets that include sequences of images and text. These datasets enable the development of sophisticated models capable of understanding and generating multimodal content. As AI models’ capabilities advance, the need for extensive, high-quality datasets becomes even more critical, driving researchers to explore… →
Artificial intelligence (AI) is dedicated to developing systems capable of performing tasks that typically require human intelligence. This dedication is met with numerous challenges along the way. One such challenge in AI is creating systems that can manage complex, realistic tasks requiring extensive interaction with dynamic environments. These tasks often involve searching for and synthesizing… →
Science aims to discover concise, explanatory formulae that align with background theory and experimental data. Traditionally, scientists have derived natural laws through equation manipulation and experimental verification, but this approach could be more efficient. The Scientific Method has advanced our understanding, but the rate of discoveries and their economic impact has stagnated. This slowdown is… →
Current methodologies for Text-to-SQL primarily rely on deep learning models, particularly Sequence-to-Sequence (Seq2Seq) models, which have become mainstream due to their ability to map natural language input directly to SQL output without intermediate steps. These models, enhanced by pre-trained language models (PLMs), set the state-of-the-art in the field, benefiting from large-scale corpora to improve their… →