Results 151 to 160 of about 229,810 (202)

An Intelligent and Conductive Hydrogel with Multiresponsive and ROS Scavenging Properties for Infection Prevention and Anti‐Inflammatory Treatment Assisted by Electrical Stimulation for Diabetic Wound

Advanced Science, EarlyView.
This study introduces a novel therapeutic approach that employs a conductive hydrogel (HEPP) responsive to near‐infrared light, pH levels, and reactive oxygen species. Its goal is to enhance the healing environment affected by elevated glucose levels, insufficient oxygen, and bacterial infections in diabetes‐related wounds.
Tao Zhang, Zongwu Meng, Haoyu Yu, Ping Ding, Tianhan Kai   +4 more
wiley   +1 more source

Pushing the Frontiers: Artificial Intelligence (AI)‐Guided Programmable Concepts in Binary Self‐Assembly of Colloidal Nanoparticles

Advanced Science, EarlyView.
Colloidal nanoparticles self‐assembly advances towards intelligent, customized assembly through precise control of binary co‐assemblies. This review explores the evolution from monolithic to binary assemblies, highlighting how the AI‐guided programmable assembly approach has the potential to shift from passive assembly to active intelligent design.
Cancan Li, Lindong Ma, Zhenjie Xue, Xiao Li, Shan Zhu, Tie Wang   +5 more
wiley   +1 more source

The evaluation model of engineering practice teaching with complex network analytic hierarchy process based on deep learning. [PDF]

Sci Rep
Han X, Chen X.
europepmc   +1 more source

From Multi‐Omics to Visualization and Beyond: Bridging Micro and Macro Insights in CAR‐T Cell Therapy

Advanced Science, EarlyView.
This review explores how multi‐omics, visualization technologies, and AI drive CAR‐T therapy from the micro to the macro level, from preclinical studies to clinical applications. The convergence of these approaches provides deeper insight into CAR‐T cell mechanisms, aids in structural optimization, and significantly enhances treatment efficacy and ...
Yuting Gong, Peng Fei, Yicheng Zhang, Yang Xu, Jia Wei   +4 more
wiley   +1 more source

Assessing Racial and Ethnic Bias in Text Generation by Large Language Models for Health Care-Related Tasks: Cross-Sectional Study.

J Med Internet Res
Hanna JJ, Wakene AD, Johnson AO, Lehmann CU, Medford RJ.   +4 more
europepmc   +1 more source

Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience. [PDF]

Commun Psychol
Roth J, Duan Y, Mahner FP, Kaniuth P, Wallis TSA, Hebart MN.   +5 more
europepmc   +1 more source

MAGEA6 Engages a YY1‐Dependent Transcription to Dictate Perineural Invasion in Colorectal Cancer

Advanced Science, EarlyView.
This study investigates the role of MAGEA6 in perineural invasion (PNI) in colorectal cancer (CRC). MAGEA6 promotes CRC invasiveness by inhibiting YY1 ubiquitination, enhancing CXCL1 secretion, and recruiting Schwann cells. These findings highlight the potential of targeting the MAGEA6/YY1/CXCL1 axis for therapeutic strategies against PNI and tumor ...
Hao Wang, Kexin He, Ruixue Huo, Weihan Li, Shan Zhang, Lu‐Ju Jiang, Hao Wu, Minhao Yu, Shu‐Heng Jiang, Junli Xue   +9 more
wiley   +1 more source

Image-based quantification of Candida albicans filamentation and hyphal length using the open-source visual programming language JIPipe. [PDF]

FEMS Yeast Res
Praetorius JP, Hitzler SUJ, Gresnigt MS, Figge MT.   +3 more
europepmc   +1 more source

Piezoresistive Effect: A New Concept for Hearing Aids

Advanced Science, EarlyView.
An MXene/PVA sound sensor utilizing piezoresistive effects has been proposed with a detection limit of 60 dB and a frequency response of 20–4000 Hz, which is comparable to the performance of commercial hearing aids. By combining the sensor with machine learning, the accuracy rate of voiceprint recognition of wildlife conservation can reach up to 99 ...
Mengyao Gao, Weijie Liu, Kun Chen, Huili Sun, Xiaoqing Liu, Haonan Xing, Huatang Wang, Benpeng Zhu, Haizhong Guo   +8 more
wiley   +1 more source

Leveraging Large Language Models and Agent-Based Systems for Scientific Data Analysis: Validation Study.

JMIR Ment Health
Peasley D, Kuplicki R, Sen S, Paulus M.
europepmc   +1 more source