Results 171 to 180 of about 367,129 (284)

Integrated Single‐Cell and Spatial Transcriptomics Reveal Cell‐Type‐Specific Immune Regulatory Networks in Maize Responding to Southern Corn Rust

Advanced Science, EarlyView.
By integrating single‐nuclei and spatial transcriptomics, this study presents a stereoscopic landscape of maize leaf to Puccinia polysora infection. Epidermal and mesophyll cells initiate primary defenses via RLPs/RLKs and jasmonic acid signaling. Cell‐cell communication analyses further reveal the underlying the dynamics of the underlying immune ...
Qiongqiong Wang, Xinyan Sun, Yingchao Sun, Zeqiang Cheng, Zixiang Cheng, Shengbo Han, Ying Feng, Wenbo Yang, Huimin Li, Meichen Zhu, Xiaoling Wu, Jinghua Zhang, Jihua Tang, Honglian Li, Yanyong Cao, Canxing Duan, Yan Shi   +16 more
wiley   +1 more source

Conformable Microelectrode Arrays Integrated with a Scoop‐Shaped Slide‐Well for Dynamic Electrophysiological Profiling of Patient‐Derived Cardiac Organoids

Advanced Science, EarlyView.
A flexible, ultrathin multi‐channel microelectrode array (MEA) conformally integrated onto a curved slide‐well enables stable electrical interfacing with 3D cardiac organoids. The geometry‐guided self‐alignment allows simultaneous recording of extracellular field potentials and contractile motion from irregular, beating tissues.
Ye Seul Kim, Jeonghwa Jeong, Gyeonghwa Heo, Young Woo Kwon, Jeongha Lee, Yoon Ji Jeong, Gyu Tae Park, Seongdo Jeong, Ki Won Hwang, Murim Choi, Jinhong Shin, Suck Won Hong, Jae Ho Kim   +12 more
wiley   +1 more source

Multimodal learning on heterogeneous subgraphs and LLMs representation for MHC-peptide binding affinity prediction. [PDF]

BMC Bioinformatics
Li R, Wang Y, Li H, Zhou B, Peng Q.
europepmc   +1 more source

Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review. [PDF]

Health Inf Sci Syst, 2023
Huang G, Li R, Bai Q, Alty J.
europepmc   +1 more source

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

A unified multimodal learning framework for sentiment analysis and mental health indicators from YouTube videos. [PDF]

Discov Ment Health
Satapathy P, Chauhan O, Kumar D, Sharma P, Banshal SK, Geman O, Morosan-Danila L, Hemanth JD.   +7 more
europepmc   +1 more source

Multimodal Mastery Learning

International Journal of Learning and Teaching, 2019
Matthew Montebello, Bill Cope, Mary Kalantzis, Samaa Haniya, Tabassum Amina, Anastasia Olga Tzirides, Duane Searsmith, Naichen Zhao, Min Chen   +8 more
openaire   +1 more source

Understanding and Overcoming Antibody‐Drug Conjugate Resistance: Biological Mechanisms and Emerging Analytical Frameworks in Breast Cancer

Advanced Science, EarlyView.
Antibody–drug conjugates (ADCs) transform breast cancer therapy, yet resistance limits their durability. Emerging evidence reveals that ADC failure is not solely tumor‐intrinsic but shaped by dynamic tumor–microenvironment interactions that alter drug delivery, processing, and response.
Minji Seo, Jangsoon Lee, Naoto T. Ueno
wiley   +1 more source

Deep multimodal learning for domain-level cognitive decline prediction in Alzheimer's disease. [PDF]

Front Artif Intell
García-Gutiérrez F, Matias-Guiu JA, Ayala JL.   +2 more
europepmc   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source