Results 161 to 170 of about 18,710 (282)

Enhanced formulation of precision probiotics through active machine learning. [PDF]

Biol Methods Protoc
Panda A, Adhikari M, Nasker SS, Nayak AK, Das D, Nayak SK, Dash SK, Nayak S.   +7 more
europepmc   +1 more source

Sound event recognition in urban soundscapes with self-organizing maps and support vector machines [PDF]

, 2013
Alías, Francesc, Botteldooren, Dick, Oldoni, Damiano, Valero, Xavier   +3 more
core  

Recent Advances in Decoupling Strategies for Soft Sensors

Advanced Science, Volume 13, Issue 17, 23 March 2026.
This review provides an overview of recent advances in decoupling strategies for soft sensors. It summarizes single‐modal sensors that are insensitive to stretching, bending, crosstalk, and other environmental interferences, and highlights emerging multimodal decoupling methods enabled by spatiotemporal information and machine learning.
Yangbo Yuan, Wanqing Zhang, Jia‐Yu Yang, Manqi Peng, Huanyu Cheng   +4 more
wiley   +1 more source

Unpacking Genomic Biomarkers for Programmed Cell Death Receptor-1 Immunotherapy Success in Non-Small Cell Lung Cancer Using Deep Neural Networks: Quantitative Study. [PDF]

JMIR Bioinform Biotechnol
Mubarak R, Anik FI, Rodriguez JT, Sakib N, Rahman MA.   +4 more
europepmc   +1 more source

OCTN2 Activates a Non‐Canonical Carnitine Metabolic Pathway to Promote MASH‐HCC Progression and Immunotherapy Resistance

Advanced Science, Volume 13, Issue 16, 18 March 2026.
In non‐MASH‐HCC, L‐carnitine promotes tumor progression primarily through its classical role in enhancing fatty acid oxidation (FAO). However, in MASH‐HCC, where FAO is markedly suppressed, L‐carnitine shifts from this canonical function to serve instead as an intracellular acetyl group buffer.
Chuqi Xia, Xiao Zhang, Jinze Li, Ning Xu, Sheng Hu, Qiyu Lu, Yuxuan Li, Taifu Xiao, Xu Li, Xue Wang, Kequan Xu, Daoming Liang   +11 more
wiley   +1 more source

An integrated AI-enabled system using One Class Twin Cross Learning for early gastric cancer detection. [PDF]

Front Oncol
Liu XX, Wei Y, Guo Y, Zhang H, Dong H, Song Q, Zhao Q, Luo W, Tian F, Gao J, Cai J, Fong S, Xu M.   +12 more
europepmc   +1 more source

Data‐Driven Feedback Identifies Focused Ultrasound Exposure Regimens for Improved Nanotheranostic Targeting of the Brain

Advanced Science, Volume 13, Issue 13, 3 March 2026.
Machine learning models predict in real time the onset of harmful microbubble collapse during microbubble‐enhanced focused ultrasound (MB‐FUS) and enable dynamic adjustment of sonication to prevent cavitation‐induced damage. This predictive control expands the safe operating window for bloodbrain barrier opening, enhancing nanoparticle delivery and ...
Hohyun Lee, Victor Menezes, Shiqin Zeng, Chulyong Kim, Cynthia M. Baseman, Jae Hyun Kim, Samhita Padmanabhan, Pranav Premdas, Naima Djeddar, Anton Bryksin, Nikhil Pandey, Pavlos Anastasiadis, Anthony J. Kim, Tobey J. MacDonald, Chetan Bettegowda, Graeme F. Woodworth, Felix J. Herrmann, Costas Arvanitis   +17 more
wiley   +1 more source

A Tangentially Sensitive Tactile Sensor Reveals the Stick‐Slip Mechanism and Enhances Robotic Tactile Sensing

Advanced Science, Volume 13, Issue 13, 3 March 2026.
An ultralight, multilayer anisotropic tactile sensor—an artificial Pacinian corpuscle—exhibits ultrahigh tangential sensitivity (1022 kPa−1) and spatiotemporal sensing. It discriminates static, sliding, and rolling contacts, detects incipient stick–slip via high‑frequency signatures, and enhances robotic touch (100%/98.18% accuracy for active/passive ...
Jinghui Wang, Xiaoyu Liu, Yujiao Du, Yepu Chen, Jieyi Guo, Linyuan Fan, Min Tang, Xiaofeng Qiao, Yuanjie Zhu, Zhiyang Zhang, Chaojie Dong, Lizhen Wang, Yubo Fan   +12 more
wiley   +1 more source

YModPred: an interpretable prediction method for multi-type RNA modification sites in S. cerevisiae based on deep learning. [PDF]

BMC Biol
Ao C, Niu M, Zou Q, Yu L, Wang Y.
europepmc   +1 more source

An Intelligent Magneto‐Mechanical Platform for Cellular Sensing in 3D Microenvironments

Advanced Science, Volume 13, Issue 17, 23 March 2026.
This study presents MagMI, a pioneering machine intelligence‐driven magneto‐mechanical sensing platform. It utilizes magneto‐mechanical arrays and machine learning to achieve label‐free, real‐time monitoring and classification of cellular proliferation dynamics within 3D microenvironments.
Yue Quan, Yuxin Wang, Sen Ding, Bingpu Zhou, Yinning Zhou   +4 more
wiley   +1 more source