Results 241 to 250 of about 110,849 (310)

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Graph neural networks for integrated information and major complex estimation. [PDF]

PLoS One
Hosaka T.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

6G conditioned spatiotemporal graph neural networks for real time traffic flow prediction. [PDF]

Sci Rep
Chauhan SS, Jain YK, Mannepalli PK, Pandey A.   +3 more
europepmc   +1 more source

Design of Single‐Atom Nanozymes for Precision Treatment of Erectile Dysfunction with Integrated Single‐Cell RNA Sequencing and Machine Learning

Advanced Science, EarlyView.
It is innovatively utilized single‐cell RNA sequencing to explore the underlying causes of diabetes mellitus‐induced erectile dysfunction, followed by machine learning‐driven design of a single‐atom nanozyme (Fe‐DMOF) for precision treatment of erectile dysfunction.
Xiang Zhou, Xi Zhang, Sihan Chen, Mengchi Yu, Yilan Hu, Chi Gan, Xianghu Meng, Long Li, Ninghong Song   +8 more
wiley   +1 more source

Temporal influence maximization via continuous-time graph neural networks and deep reinforcement learning. [PDF]

Sci Rep
Wang Y, Alawad MA, Alfilh RHC, Singh Sawaran Singh N.   +3 more
europepmc   +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

Entity relationship extraction method based on dependency parsing and graph neural networks. [PDF]

Sci Rep
Wei F, Liu X, Pan L, Zhao W, Shi G, Zeng Z, Jiao Y.   +6 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