Agentic AI enables autonomous and collaborative problem-solving that mimics human cognition. By facilitating multi-agent cooperation with real-time communication, it holds promise across diverse industries, from autonomous transportation to adaptive healthcare. However, achieving this potential requires scalable, robust, and seamlessly integrative frameworks with existing technologies while addressing technical challenges that limit adaptability and precision. The significant… →
CONCLUSIONS: The preventive use of PEG-rhG-CSF decreases the incidence of neutropenia in patients undergoing concurrent chemoradiotherapy for NPC, thereby reducing rates of chemotherapy delays and radiotherapy interruptions, with mild adverse reactions that are tolerable by patients. →
The growth of data in the digital age presents both opportunities and challenges. An immense volume of text, images, audio, and video is generated daily across platforms. Traditional machine learning models, while effective in many scenarios, often struggle to process high-dimensional and unstructured data without extensive preprocessing and feature engineering. This approach is not only… →
Generative Large Multimodal Models (LMMs), such as LLaVA and Qwen-VL, excel in vision-language (VL) tasks like image captioning and visual question answering (VQA). However, these models face challenges when applied to foundational discriminative VL tasks, such as image classification or multiple-choice VQA, which require discrete label predictions. The primary obstacle is the difficulty in extracting… →
CONCLUSIONS AND RELEVANCE: A low-intensity online intervention did not significantly improve distress, depressive, or anxiety symptoms but showed some potential in reducing general stress and negative emotions and improving resilience. These findings are encouraging but not definitive, and caution is needed due to missing data. These data suggest that a low-intensity online intervention may offer… →
CONCLUSION: There was no difference between L-TAP and PSI. L-TAP was feasible, easy to earn, and safe. We recommend that it be considered in clinical protocols and local guidelines as part of the peri-operative analgesia regimen, especially when ultra-sound guided blocks are unavailable. Overall, patients with uncomplicated appendicitis who undergo LA have low VAS scores… →
Large Language Models (LLMs) and Vision-Language Models (VLMs) transform natural language understanding, multimodal integration, and complex reasoning tasks. Yet, one critical limitation remains: current models cannot efficiently handle extremely large contexts. This challenge has prompted researchers to explore new methods and architectures to improve these models’ scalability, efficiency, and performance. Existing models typically support token… →
Advances in large language and multimodal speech-text models have laid a foundation for seamless, real-time, natural, and human-like voice interactions. Achieving this requires systems to process speech content, emotional tones, and audio cues while giving accurate and coherent responses. However, challenges remain in overcoming differences in speech and text sequences, limited pre-training for speech tasks… →
Scientific metadata in research literature holds immense significance, as highlighted by flourishing research in scientometrics—a discipline dedicated to analyzing scholarly literature. Metadata improves the findability and accessibility of scientific documents by indexing and linking papers in a massive graph. Today, the research community has realized the importance of metadata. However, its awareness and consideration were… →
CONCLUSION: A positive exposure-response relationship between vedolizumab trough concentrations and UC outcomes suggests that monitoring drug levels may be beneficial. While thiopurine did not influence vedolizumab levels, its withdrawal may necessitate higher vedolizumab trough concentrations to maintain remission. →