Results 81 to 90 of about 8,741,380 (318)

Lactate Dehydrogenase C4 Accelerates Triple‐Negative Breast Cancer Progression by Promoting Acetyl‐CoA Acyltransferase 2 Lactylation to Increase Free Fatty Acid Accumulation

Advanced Science, EarlyView.
Diagram of the reprogramming of FA metabolism mediated by LDHC4‐induced ACAA2 activity to promote TNBC progression. LDHC4 drives TNBC progression by enhancing ACAA2‐mediated fatty acid production. The resulting accumulation of FFAs stimulates autophagy and accelerates cell cycle progression, thereby promoting tumor growth.
Zhaolei Cui, Chaoqiang Zheng, Yingying Lin, Zhenzhou Xiao, Yanhong Li, Wei Peng, Shijie He, Anyang Li, Xiufeng Wu, Yan Chen, Yang Sun   +10 more
wiley   +1 more source

Tuning the Musical Mind: Next Steps in Solving the Puzzle of the Cognitive Transfer of Musical Training to Language and Back

Music & Science, 2023
A growing body of research has been studying cognitive benefits that arise from music training in childhood or adulthood. Many studies focus specifically on the cognitive transfer of music training to language skill, with the aim of preventing language ...
Eline A. Smit, Tamara Rathcke, Peter E. Keller   +2 more
doaj   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Recent Advancements in Topic Modeling Techniques for Healthcare, Bioinformatics, and Other Potential Applications

Advanced Intelligent Systems, EarlyView.
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari, Sachin Kadian, Mukund Vora, Pradyumna Vemuri, Sumit Kumar, Om Prakash Verma, Roger J. Narayan   +6 more
wiley   +1 more source

Psicolingüística, neurolingüística, logopedia y lingüística clínica: Juntos sí, pero no revueltos

Revista de Filología y Lingüística de la Universidad de Costa Rica, 2004
Cuando los lingüistas especializados en alteraciones del lenguaje recurren a bibliografía relativa a este tema, se encuentran con el sorprendente descubrimiento de que no hay apenas nada concreto acerca del tema descrito desde la propia lingüística ...
Elena Garayzábal Heinze, María Pilar Otero Cabarcos   +1 more
doaj   +1 more source

Assessing Large Multimodal Models for One‐Shot Learning and Interpretability in Biomedical Image Classification

Advanced Intelligent Systems, EarlyView.
Image classification plays a pivotal role in biomedical image analysis. Herein, it is shown that large multimodal models, such as GPT‐4, achieve superior performance in one‐shot learning, generalization, interpretability, and text‐driven image classification. Applications span tissue, cell type, cellular state, and disease classification, outperforming
Wenpin Hou, Qi Liu, Huifang Ma, Yilong Qu, Zhicheng Ji   +4 more
wiley   +1 more source

Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology

Advanced Intelligent Systems, EarlyView.
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, Lei Wang, Shanjun Wu, Jiewei Jiang, Wei Qiang, Yangyang Wang, Shihong Wang, Yi Shao, Wei Chen, Zhongwen Li   +9 more
wiley   +1 more source

Temporal expression normalisation in natural language texts [PDF]

, 2012
Automatic annotation of temporal expressions is a research challenge of great interest in the field of information extraction. In this report, I describe a novel rule-based architecture, built on top of a pre-existing system, which is able to normalise ...
Filannino, Michele
core   +1 more source

Parallel Multimodal Language Model: Enhanced Breast Nodule Diagnosis through Parallel Multimodal Representations and Large Language Models

Advanced Intelligent Systems, EarlyView.
This study introduces the Parallel Multimodal Language Model (PMLM), a multimodal diagnostic framework that integrates medical images and textual data to enhance early breast cancer detection. By addressing the limitations of text‐only large language models, PMLM significantly improves diagnostic performance.
Dashun Zheng, Patrick Cheong‐Iao Pang, Ping He, Yue Sun, Hongju Yan, Xiangyu Xiong, Ligang Cui, Tao Tan, Lingyun Bao   +8 more
wiley   +1 more source

Editorial: Digital Linguistic Biomarkers: Beyond Paper and Pencil Tests

Frontiers in Psychology, 2021
Gloria Gagliardi, Dimitrios Kokkinakis, Dimitrios Kokkinakis, Jon Andoni Duñabeitia, Jon Andoni Duñabeitia   +4 more
doaj   +1 more source