To diagnose and cure cancer, pathologic examination of tissue is crucial. The digital versions of the old histological slides used for light microscopy are gradually replacing them with whole-slide images (WSIs). This allows computational pathology to transition from being used primarily as academic proof points to becoming routine tools in clinical practice. To aid in… →
Accurate segmentation of structures like cells and organelles is crucial for deriving meaningful biological insights from imaging data. However, as imaging technologies advance, images’ growing size, dimensionality, and complexity present challenges for scaling existing machine-learning techniques. This is particularly evident in volume electron microscopy, such as focused ion beam-scanning electron microscopy (FIB-SEM) with near-isotropic capabilities.… →
Healthcare artificial intelligence (AI) is rapidly advancing, with large language models (LLMs) emerging as powerful tools to transform various aspects of clinical practice. These models, capable of understanding and generating human language, are particularly promising in addressing complex medical queries, enhancing patient communication, and supporting clinical decision-making. However, while LLMs have shown remarkable potential across… →
CONCLUSIONS: This investigation will yield dependable evidence regarding the efficacy and safety of SCRM in patients with AJS. →
CONCLUSION: We anticipate that this study will provide evidence for the implementation of RM splints to manage adults with TF. →
BACKGROUND: Individuals with chronic obstructive pulmonary disease (COPD) exhibit reduced levels of physical activity, which are associated with poorer outcomes. The number of clinical trials aiming to promote behavioral changes to increase physical activity in this population has grown; therefore, these trials have yet to produce satisfactory results. An ecological model encompassing individual, social, environmental,… →
CONCLUSIONS: Offering self-sampling to women overdue with CC and CRC screening when they attend BC screening was a feasible intervention, resulting in an increase in participation and total coverage. Other interventions are required to reach women who are not participating in BC screening. →
Integrating advanced educational technology has opened new avenues for enhancing teaching effectiveness, particularly using large language models (LLMs). These models are increasingly being explored as tools to assist educators, especially those new to teaching, in developing detailed and effective lesson plans. The application of LLMs in education is driven by the potential to generate tailored… →
Large language models (LLMs) have made significant strides in various applications, but they continue to face substantial challenges in complex reasoning tasks. For instance, even advanced models like Mistral-7B can only achieve 36.5% accuracy on the GSM8K dataset, despite employing techniques such as Chain-of-Thought (CoT). While fine-tuning has shown promise in improving reasoning capabilities, most… →
Transformers are a groundbreaking innovation in AI, particularly in natural language processing and machine learning. Despite their pervasive use, the internal mechanics of Transformers remain a mystery to many, especially those who lack a deep technical background in machine learning. Understanding how these models work is crucial for anyone looking to engage with AI on… →