CONCLUSION: A pre-placed bronchial balloon can reduce the incidence of moderate bleeding and increase the confidence of the bronchoscopists. However, it had no effect on increasing the diagnostic rate of MDD and reducing severe bleeding. →
CONCLUSIONS: Short exposure to Q-Can® among patients with localized PCa was not associated with changes in PSA levels, PCa characteristics including grade and stage or serum testosterone. Due to early termination from inability to recruit, study power, was not achieved. →
Facing constant frustration with slow and error-prone manual processes, many users struggle to bypass platform detections, especially when security concerns loom large over profile storage and access. Add to this the frustration of downtime, sluggish support, and the challenge of navigating security during multi-project team collaborations, and the need for a reliable solution becomes glaringly… →
Machine learning focuses on creating algorithms that enable computers to learn from data and improve performance over time. It has revolutionized domains such as image recognition, natural language processing, and personalized recommendations. This research field leverages vast datasets and advanced computational capabilities, pushing the boundaries of what’s possible in artificial intelligence and opening new frontiers… →
Large Language Models (LLMs) have gained traction for their exceptional performance in various tasks. Recent research aims to enhance their factuality by integrating external resources, including structured data and free text. However, numerous data sources, such as patient records and financial databases, contain a mix of both types of information. “Can you find me an… →
The foundational importance of arrays in computer science cannot be overstated. Arrays and lists are the bedrock of data structures, often the first concepts introduced to budding programmers. Since their inception back to Fortran in 1957 and continuing to hold prominence in contemporary languages like Python, arrays maintain a consistent and universal presence across the… →
The increasing reliance on machine learning models in critical applications raises concerns about their susceptibility to manipulation and exploitation. Once trained on a dataset, these models often retain information indefinitely, making them vulnerable to privacy breaches, adversarial attacks, or unintended biases. Therefore, techniques are urgently needed to allow models to unlearn specific data subsets, reducing… →
PyTorch introduced TK-GEMM, an optimized Triton FP8 GEMM kernel, to address the challenge of accelerating FP8 inference for large language models (LLMs) like Llama3 using Triton Kernels. Standard PyTorch execution often struggles with the overhead of launching multiple kernels on the GPU for each operation in LLMs, leading to inefficient inference. The researchers aim to… →
BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is strongly associated with type 2 diabetes mellitus (T2DM). Lifestyle intervention remains a preferred treatment modality for NAFLD. The glucagon-like peptide (GLP-1) receptor agonists and sodium-glucose cotransporter-2 (SGLT-2) inhibitors have been developed as new glucose-lowering drugs, which can improve fatty liver via an insulin-independent glucose-lowering effect. However, studies exploring… →
Conformal prediction (CP) for regression can be challenging, especially when the output distribution is heteroscedastic, multimodal, or skewed. Some of the issues can be addressed by estimating a distribution over the output, but in reality, such approaches can be sensitive to estimation error and yield unstable intervals. Here, we circumvent the challenges by converting regression… →