Results 211 to 220 of about 9,872,649 (283)

A vision of human-AI collaboration for enhanced biological collection curation and research. [PDF]

Bioscience
Stenhouse A, Fisher N, Lepschi B, Schmidt-Lebuhn A, Rodriguez J, Turco F, Reeson A, Paris C, Thrall PH.   +8 more
europepmc   +1 more source

The Potential of Self‐Maintainable Living Materials

Advanced Science, EarlyView.
Self‐maintainable living materials are presented as the next generation of bioadaptive systems, integrating continuous sensing, decision‐making, response, self‐repair, and adaptation in a closed‐loop framework. This review highlights the design principles and emerging technologies that enable autonomous, long‐term functionality for future regenerative ...
Mohammadsadegh Nadimifar, Tatiane Eufrásio‐da‐Silva, Lidia Maeso, Gorka Orive, Alireza Dolatshahi‐Pirouz   +4 more
wiley   +1 more source

Structural Control of Stromal‐Immune Coupling by COL24A1 Underlies Pregnancy Maintenance

Advanced Science, EarlyView.
COL24A1 emerges as a collagen‐associated regulator of maternal‐fetal interface homeostasis. Its deficiency promotes a maladaptive TIMP1‐high stromal state, impaired ECM turnover, collagen accumulation, and stromal–immune dysregulation, contributing to pregnancy loss.
Teng Wu, Lingling Xie, Wenyi Liu, Hanjie Mo, Chengshu Xie, Jing Tang, Zhaorui Wang, Peixuan Lan, Jianping Zhang, Jie Gao, Qionglan Tang, Chunwei Cao, Hui Chen   +12 more
wiley   +1 more source

Inhibition of MEKK3 Prevents Cerebral Cavernous Malformation Progression Via Restoring Endothelial Integrity and Restricting Microglial Activation

Advanced Science, EarlyView.
In this study, we demonstrate that aberrant MEKK3 signaling in endothelial cells and microglia drives the progression of cerebral cavernous malformations (CCMs). Furthermore, we identify DPDH as a potent small‐molecule MEKK3 inhibitor with substantial therapeutic potential for CCM treatment.
Weiwei Zheng, Suyun Yu, Liwenyu Chen, Jing Ma, Peiliang Shen, Chang Yu, Xiaoqing Xin, Qiuhong Shen, Jing Chen, Song Ke, Hao Liu, Xiaobing Jiang, Ruogu Qi, Juming Yan, Jia Li, Jaesung P. Choi, Yin Lu, Yang Zhao   +17 more
wiley   +1 more source

Understanding dimensions of trust in AI through quantitative cognition: Implications for human-AI collaboration. [PDF]

PLoS One
Jiang W, Li D, Liu C.
europepmc   +1 more source

Porphyrin‐Based Porous Materials for Antibacterial Applications

Advanced Science, EarlyView.
Porphyrin‐based porous materials have excellent photophysical properties and tunable structures for high‐efficiency antibacterial therapy. This review comprehensively discusses the structural design strategies and synthetic pathways of the four main types of porphyrin‐based porous materials, summarizes their cross‐domain antimicrobial applications, and
Xiao‐Xue Liang, Xin Li, Ying Xiong, Xin Wang, Ying‐Wei Yang   +4 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Enhancing decision-making in glioblastoma surgery through an explainable human-AI collaboration: an international multicenter model development and external validation study. [PDF]

NPJ Precis Oncol
Kernbach JM, Schroeder U, Hakvoort K, Ort J, Hamou H, Bzdok D, Temel Y, Kubben P, Weyland C, Wiesmann M, Staartjes V, Akeret K, Vieli M, Serra C, Regli L, Grau S, Dührsen L, Ricklefs F, Schnell O, Ormond DR, Grote A, Simon M, Meredig H, Schell M, Bendszus M, Neuloh G, Clusmann H, Heiland DH, Delev D.   +28 more
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Human AI collaboration for unsupervised categorization of live surgical feedback. [PDF]

NPJ Digit Med
Kocielnik R, Yang CH, Ma R, Cen SY, Wong EY, Chu TN, Knudsen JE, Wager P, Heard J, Ghaffar U, Anandkumar A, Hung AJ.   +11 more
europepmc   +1 more source