Results 181 to 190 of about 13,144 (256)

A Foundation Model Based CT Biomarker for Non‐Invasive Prediction of Response to Neoadjuvant Immunochemotherapy in Non‐Small Cell Lung Cancer

Advanced Science, EarlyView.
This study introduces a foundation model‐based biomarker for risk stratification of pathological response in non‐small cell lung cancer. A Vision Mamba super‐resolution model standardizes heterogeneous CT images. A multi‐task Swin Transformer then fine‐tunes a pre‐trained lung foundation model to jointly optimize tumor segmentation and response ...
Yanglan Xu, Shuchang Zhou, Qin Peng, Xiao Bao, Xiaodan Ye, Ahmet Görkem Er, Tong Tong, Mirabela Rusu, Yajia Gu, Mailin Chen, Jing Gong   +10 more
wiley   +1 more source

Interferometric image denoising network SEVReNet. [PDF]

Biomed Opt Express
Li K, Guo R, Wang S, Wu S.
europepmc   +1 more source

Enhancing Blood Circulation With Epsilon‐Near‐Zero (ENZ) Materials via the Far‐Infrared Window of Human Skin

Advanced Science, EarlyView.
Epsilon‐near‐zero (ENZ) silicon carbide enables a selective far‐infrared emitter spectrally aligned with the human skin window around 10 µm for wavelength‐matched thermal therapy. In 25 within‐subject trials (50 hands) monitored by laser speckle contrast imaging, SiC increases blood perfusion by 30.2% versus a broadband graphite emitter while ...
Wen‐Teng Yao, Shan‐Chiao Yang, Ming‐Feng Tsai, Hsuen‐Li Chen   +3 more
wiley   +1 more source

Comparing multi- and single-exposure speckle contrast optical spectroscopy methods as estimators of blood flow in the diffuse regime. [PDF]

J Biomed Opt
Aleman S, Estrada AD, Parthasarathy AB.
europepmc   +1 more source

Electrical‐Stimulation Hydrogel Electronic Skin for Sustainable Hybrid Biomechanical–Electromagnetic Energy Harvesting and Accelerating Wound Healing

Advanced Science, EarlyView.
A hybrid biomechanical–electromagnetic energy‐harvesting e‐skin is developed using a gelatin‐based outer matrix with a zwitterionic conductive inner layer. The e‐skin autonomously generates stable electrical stimulation from daily body motion and ambient electronics, enabling significantly enhanced wound healing bothin vitro and in vivo.
Syun‐Hong Chou, Ming‐Han Lu, Wei‐Chen Peng, Wei‐Chun Yang, Pei‐Yi Liu, Yu‐Hsuan Yang, Yi‐Lin Huang, Cheng‐Hung Tsai, Ting‐Yu Yang, Xuan Zhang, Zhi‐Xian Yan, Ying‐Chih Lai, San‐Yuan Chen   +12 more
wiley   +1 more source

A Frequency-Aware Self-Supervised Framework for MEMS-OCT Denoising. [PDF]

Biosensors (Basel)
Zhang G, Li Z, Zhao H, Peng Z, Xie H.
europepmc   +1 more source

Accurately Deciphering Tissue Heterogeneity From Spatial Multi‐Modal and Multi‐Omics With STransformer

Advanced Science, EarlyView.
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li, Jialuo Xu, Gaoyuan Du, Xiangting Jia, Dongmin Zhao, Chunyan Zhou, Kexin Xiao, Jia Gu, Junnan Zhu, Xuequn Shang   +9 more
wiley   +1 more source

Model-Driven Deep Learning Enables Speckle-Free Holography for 3D Parallel Nanofabrication. [PDF]

Research (Wash D C)
Liu K, Ouyang W, Chen C, Wu J, Cao L, Chen SC.   +5 more
europepmc   +1 more source

Epidermal METTL1‐Mediated m7G Modification Drives Psoriatic Inflammation by Stabilizing Bdkrb1 and Orchestrating Neutrophil Recruitment

Advanced Science, EarlyView.
This study unveils an unrecognized pro‐inflammatory epitranscriptomic checkpoint in psoriasis. By installing m7G modifications on the 5′ UTR of Bdkrb1 mRNA, METTL1 enhances receptor stability to orchestrate keratinocyte‐driven neutrophil recruitment via p38 MAPK signaling.
Chang Zhang, Jiayi Lu, Sihao Yan, Yirui Wang, Zhuo Li, Weiwei Chen, Yang Han, Ziyan Zhang, Yafen Yu, Qi Zhen, Liangdan Sun   +10 more
wiley   +1 more source

SW-Net: A Direction-Aware Deep Learning Model for Shipwreck Segmentation in Side-Scan Sonar Imagery. [PDF]

Sensors (Basel)
Dai J, He J.
europepmc   +1 more source