Results 171 to 180 of about 828,775 (268)

Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction

Advanced Science, EarlyView.
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi, Diwakar Mahajan, Hongyang Li, Yuxin Yang, Elif Eyigoz, Aldo Guzmán‐Sáenz, Daniel E. Platt, Timothy H. Rumbell, Kenney Ng, Sanjoy Dey, Myson Burch, Bum Chul Kwon, Pablo Meyer, Feixiong Cheng, Jianying Hu, Joseph A. Morrone   +17 more
wiley   +1 more source

Rejected by an AI? Comparing job applicants' fairness perceptions of artificial intelligence and humans in personnel selection. [PDF]

Front Artif Intell
Malin C, Fleiß J, Ortlieb R, Thalmann S.   +3 more
europepmc   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

Advanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan, Jiating Yu, Jieyi Pan, Fan Yuan, Jiadong Ji, Rusong Zhao, Zhi‐Ping Liu, Bingqiang Liu, Ling‐Yun Wu, Duanchen Sun   +9 more
wiley   +1 more source

Influence of health empowerment on health outcomes of different socioeconomic status: evidence from Anhui, China. [PDF]

BMC Public Health
Cheng J, Dai W, Chen S, Wang L, Chen R.
europepmc   +1 more source

Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries

Advanced Science, EarlyView.
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang, Wenkai Wang, Zhenling Peng, Jianyi Yang   +3 more
wiley   +1 more source

Measuring group fairness in community detection. [PDF]

PLoS One
de Vink E, Takes FW, Saxena A.
europepmc   +1 more source

SAGE: Spatially Aware Gene Selection and Dual‐View Embedding Fusion for Domain Identification in Spatial Transcriptomics

Advanced Science, EarlyView.
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He, Yunpei Xu, Liqing Ding, Hong‐Dong Li, Yaohang Li, Shaokai Wang   +5 more
wiley   +1 more source

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

Challenging the principle of "No presumption of advantage" with a focus on testosterone and gender eligibility in sports. [PDF]

Front Sports Act Living
Atherton PJ, Hu K, Jones-Freeman B, Cheung AS, Costa RJS, Eynon N, Seto JT, Moesgaard L, Hostrup M, Lima G, Pitsiladis Y.   +10 more
europepmc   +1 more source

Integration of Freestanding High‐k Oxide Membranes for 2D Ferroelectric Field‐Effect Transistors

Advanced Science, EarlyView.
This work introduces a defect‐tolerant integration strategy that enables freestanding BaTiO3 membranes to form low‐leakage top‐gate junctions with MoS2. The resulting FeFETs exhibit a record 0.22 V nm−1 memory window, ultrahigh‐k response, and near‐ideal subthreshold swings.
Zejing Guo, Xuyang Sha, Fang Xu, Guangyi Huang, Jinfeng Zhang, Yang Mou, Guorui Zhao, Jiaqi Liu, Qing Lan, Wenqing Song, Cheng Zhang, Hai Huang, Changlin Zheng, Lingfei Wang, Hangwen Guo, Jian Shen, Wu Shi   +16 more
wiley   +1 more source