Results 141 to 150 of about 303,459 (294)

Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects

Advanced Science, EarlyView.
Bacterial outer membrane vesicles (OMVs) have emerged as versatile platforms for cancer vaccine development owing to their intrinsic immunostimulatory properties and high engineering flexibility. This review summarizes OMV biology, immune mechanisms, and engineering strategies that enhance vaccine efficacy, discusses key translational challenges, and ...
Jiabeini Zhang, Tianyu Shao, Fengjiang Qu, Caiyun Bai, Sijie Li, Pin Gao, Wenna Li, Keman Cheng, Xiao Zhao, Zhimin Fan   +9 more
wiley   +1 more source

Attitudes Towards AI: The Interplay of Self-Efficacy, Well-Being, and Competency

Journal of Technology in Behavioral Science
Abstract Artificial intelligence (AI) is revolutionizing society, yet its widespread adoption is accompanied by significant ethical and societal concerns. Through a large survey, this study explores the complex interplay between self-efficacy, AI competency, cultural factors, and attitudes towards AI among UK and Arab participants.
Mohammad Naiseh, Areej Babiker, Sameha Al-Shakhsi, Deniz Cemiloglu, Dena Al-Thani, Christian Montag, Raian Ali   +6 more
openaire   +1 more source

AI in academia: How do social influence, self-efficacy, and integrity influence researchers' use of AI models?

Social Sciences & Humanities Open
The integration of artificial intelligence models into academic settings has experienced remarkable growth in recent years. Given that researchers' interactions with and perceptions of these technologies can substantially influence academic procedures and outputs, identifying the key determinants of their incorporation into university environments is ...
Benicio Gonzalo Acosta-Enriquez, Marco Arbulu Ballesteros, César Robin Vilcapoma Pérez, Olger Huamaní Jordan, Joseph Anibal Martin Vergara, Rafael Martel Acosta, Carmen Graciela Arbulu Perez Vargas, Julie Catherine Arbulú Castillo   +7 more
openaire   +2 more sources

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

AI‐Assisted Self‐Powered Wearable Dual‐Mode Sensor With TENG and Stretchable Optical Fiber for Neurological Disorder Diagnostics

Advanced Science, EarlyView.
This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li, Han Liu, Guoxu Liu, Qian'ao Wang, Haotian Zhou, Guiyi Liu, Yan Xu, Jun Wang, Zuqiang Wang, Feng Zhu, Feiling Luo, Zhong Lin Wang, Chi Zhang   +12 more
wiley   +1 more source

Nanomedicine Meets Immunotherapy: Advancing Adoptive Cell Therapy with Nanoparticles in the Treatment of Cancer with Sustainability Perspectives

Advanced Science, EarlyView.
This review surveys nanoparticle‐based strategies to enhance adoptive cell therapy, particularly CAR‐T cell approaches, in solid tumor treatment. It describes how nanoparticles can improve tumor immunogenicity and T‐cell infiltration while reducing toxicity, and how they enable in vivo CAR‐T cell generation.
Erica Frostegård, Tatiana Bobrova, Amalie Leinebø, Thibault Leray, Shayamita Ghosh, Lorena García‐Hevia, Chiara Puccinelli, Lorenzo Riccio, Jacopo Sorani, Davide Bonifazi, Julien Caumartin, Emmanuel Donnadieu, Florence Gazeau, Roland Hischier, Else Marit Inderberg, Mónica L. Fanarraga, Maria Loustau, Bernd Nowack, Sébastien Wälchli, Cécilia Ménard‐Moyon   +19 more
wiley   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Artificial Intelligence Powers Protein Functional Annotation

Advanced Science, EarlyView.
This review systematically summarizes how artificial intelligence advances protein functional annotation. It organizes existing methods into six unified modeling paradigms and analyzes their applications in Gene Ontology and Enzyme Commission prediction.
Wenkang Wang, Qiurong Yang, Min Zeng, Ruiqing Zheng, Min Li   +4 more
wiley   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source