Results 71 to 80 of about 374,270 (275)
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu+7 more
wiley +1 more source
The Design of Unique Lexicon Formation of Javanese Speech in Semarang Lower Class Society
The research was aimed to design the formation of Javanese speech unique lexicon in Semarang lower class society. The design involved the phoneme sequence pattern and phoneme mapping in the lexicon structure.
Suryadi M., Astuti Sri Puji
doaj +1 more source
Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin+9 more
wiley +1 more source
Lexicon and Scenarios of Touch Perception: Towards Developing a Research Thesaurus
The paper shows the important advance in sensory neuroscience achieved with a recent discovery of C-tactile system integrating mechanosensitive C fibers that innervate the hairy skin and representing the neurobiological substrate for the affective and ...
Anton A. Varlamov+5 more
doaj +1 more source
End‐to‐End Attention‐Enhanced Transformer for Image Captioning in Biomimetic Wearable Devices
This work proposes an attention‐enhanced transformer for image captioning, improving multiregion feature representation and future‐context decoding, achieving 2.1 CIDEr gain and real‐time performance on wearables with low memory and power, ideal for edge deployment in biomimetic visual assistance.
Yongyang Yin, Hengyu Cao, Jun Lin
wiley +1 more source
A compressed sensing (CS)‐based feature selection method is proposed to select the most informative elements in the radiomic features extracted from medical images of personalized ultra‐fractionated stereotactic adaptive treatment. The CS‐based approach is able to simplify the feature selection process and enhance the accuracy and robustness of a ...
Yajun Yu+3 more
wiley +1 more source
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding+5 more
wiley +1 more source
A large language model (LLM)‐powered multimodal robotic scrub nurse control framework is proposed for enhancing human–robot interaction. Inside, the vision module gives out instrument class, location, and occlusion relationship. Speech module captures and converts user's speech commands.
Wing Yin Ng+4 more
wiley +1 more source