Results 231 to 240 of about 200,089 (297)

Lilrb4a Suppression Reprograms Microglia to Mitigate APOE4‐Associated Amyloid Plaques and Cerebral Amyloid Angiopathy in Association With a PPAR‐Linked Pro‐Clearance State

Advanced Science, EarlyView.
Targeting Lilrb4a in Apolipoprotein E4 (APOE4)‐associated Alzheimer's disease (AD) reprograms microglia toward a beneficial, phagocytic state. Genetic deletion or antisense inhibition of Lilrb4a suppresses p‐SHP2/NF‐κB/STAT1 signaling, restores PPAR‐linked lipid and energy metabolism, and reduces amyloid plaque burden and cerebral amyloid angiopathy ...
Changxu Nie, Ruixi Yang, Xiaotong Wang, Ping Jia, Xueqi Zhang, Yaqi Dai, Xue Bai, Sijia Duan, Yufeng Li, Peng Zheng, Xin Tian, Li Jiang, Chao Wang   +12 more
wiley   +1 more source

Endogenous Engineering Reprograms Extracellular Vesicles for Enhanced Therapeutic Function

Advanced Science, EarlyView.
This review explains how Extracellular vesicles‐producing cells can be endogenously engineered to load therapeutic proteins and nucleic acids. We summarize physiological and genetic strategies that harness native sorting pathways for selective cargo loading.
Jinghui Wang, Wenxuan Zhao, Xiaoming Hu, Yishu Wang, Peidong Yang, Diwei Zheng, Yugang Wang, Guanghui Ma, Min Shi, Wei Wei, Shuang Wang   +10 more
wiley   +1 more source

Responsible AI Integration in Mental Health Research: Issues, Guidelines, and Best Practices. [PDF]

Indian J Psychol Med
Beg MJ.
europepmc   +1 more source

Ethical Precision in Nanoscale Brain Interfacing

Advanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

Generalization-a key challenge for responsible AI in patient-facing clinical applications. [PDF]

NPJ Digit Med
Goetz L, Seedat N, Vandersluis R, van der Schaar M.   +3 more
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Empowering nurses to champion Health equity & BE FAIR: Bias elimination for fair and responsible AI in healthcare. [PDF]

J Nurs Scholarsh
Cary MP, Bessias S, McCall J, Pencina MJ, Grady SD, Lytle K, Economou-Zavlanos NJ.   +6 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source