Results 231 to 240 of about 1,895,969 (377)

A pan-immunotherapy signature to predict intratumoral CD8⁺ T cell expansions. [PDF]

Nat Commun
Takahashi M, Tsunoda M, Aoki H, Kurosu M, Ogiwara H, Shichino S, Bending D, Ishikawa S, Thaventhiran JED, Matsushima K, Ueha S.   +10 more
europepmc   +1 more source

Metal Nanoclusters for Cancer Imaging and Treatment

Advanced Functional Materials, EarlyView.
This review aims to provide a comprehensive summary and discussion of the core–shell design capabilities of metal nanoclusters (NCs) at the atomic level for cancer imaging and treatment. It offers essential insights into the design principles of metal NCs while also encouraging the exploration of other nanomaterials and their potential theranostic ...
Haiguang Zhu, Ziping Wang, Qiaofeng Yao, Ping Zhang, Jianping Xie, Xun Yuan   +5 more
wiley   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Query Expansion Based on Word Graphs Using Pseudo Non-Relevant Documents and Term Proximity

, 2012
Seung-Hyeon Jo, Kyung-Soon Lee
openalex   +2 more sources

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Improving image retrieval effectiveness via query expansion using MeSH hierarchical structure. [PDF]

J Am Med Inform Assoc, 2013
Crespo Azcárate M, Mata Vázquez J, Maña López M.   +2 more
europepmc   +1 more source

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

Advanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi, Irem Deniz Derman, Deepak Gupta, Logan Haugh, Yogendra Pratap Singh, Vaibhav Pal, Yasar Ozer Yilmaz, Suihong Liu, Andre Luis Dias, Rogerio Andrade Flauzino, Ibrahim Tarik Ozbolat   +10 more
wiley   +1 more source

KGMP: Augmenting retrieval knowledge graph with multi-hop perceptron. [PDF]

PLoS One
Yang Z, Weng L, Zhang L, Tong R, Xie J, Zeng Z, Chen D.   +6 more
europepmc   +1 more source

Study and Evaluation of Multiple Query Expansion Method for an Intelligent Health Information Retrieval

, 2004
Lina F. Soualmia
openalex   +1 more source