Results 241 to 250 of about 2,740,047 (370)

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

ADAM-Net: Anatomy-Guided Attentive Unsupervised Domain Adaptation for Joint MG Segmentation and MGD Grading. [PDF]

J Imaging
Fang J, He X, Jiang Y, Wang MH.
europepmc   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

Unsupervised Learning Based on Prior Knowledge Enhancement for the Classification and Evaluation of Geological–Engineering Sweet Spots

Fanhui Zeng, Tao Wu, Jianchun Guo, Yu Zhang, Dagan Hu, Zhangxin Chen   +5 more
openalex   +1 more source

Classification of outdoor 3D lidar data based on unsupervised Gaussian mixture models

, 2015
Artur Maligo, Simon Lacroix
openalex   +2 more sources

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

Advanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu, Ke Zhang, Zelei Miao, Gaoyi Yang, Yujing Huang, Ju‐Sheng Zheng   +5 more
wiley   +1 more source

The structural, functional, and neurophysiological connectome of mild traumatic brain injury: A DTI, fMRI and MEG multimodal clustering and data fusion study. [PDF]

Neuroimage Clin
Zhang J, Solar KG, Safar K, Zamyadi R, Vandewouw MM, Da Costa L, Rhind SG, Jetly R, Dunkley BT.   +8 more
europepmc   +1 more source

Optimized Unsupervised Image Classification Based On Neutrosophic Set Theory

, 2014
A. E. Amin
openalex   +2 more sources

Photoacoustic Microscopy for Multiscale Biological System Visualization and Clinical Translation

Advanced Science, EarlyView.
Photoacoustic microscopy (PAM) is a powerful biomedical imaging tool renowned for its non‐invasiveness and high resolution. This review synthesizes recent technological advances and highlights their broad applications from cellular and organ‐level to whole‐animal imaging.
Tingting Wang, Jiali Chen, Liming Nie, Honghui Li   +3 more
wiley   +1 more source

Development of digital hardware for a spiking image recognition network employing a novel burst-based reinforcement learning approach. [PDF]

Sci Rep
Nazari S, Amiri M.
europepmc   +1 more source