Results 231 to 240 of about 1,925,096 (328)

Stacked convolutional neural network for emotion recognition using multi feature speech analysis. [PDF]

Sci Rep
Roy C, Kharel W, Das P, Panigrahi R, Hareesha KS, Pramanik M, Bhoi AK.   +6 more
europepmc   +1 more source

Droplet Digital CRISPR for Nucleic Acid Detection

Advanced Science, EarlyView.
This review outlines recent advances in droplet digital CRISPR technology for nucleic acid detection, combining CRISPR specificity with droplet digital‐based absolute quantification. It summarizes core principles, amplification‐assisted and amplification‐free strategies, and representative DNA and RNA biomarker applications.
Yang Zhang, Roy S. K. Walker, Anwar Sunna, Tracie J. Barber, Ming Li   +4 more
wiley   +1 more source

Biomimetic Multiscale‐Structured Biomass Graphene/Polyurethane Sponge Composite for Flexible Pressure Sensors and Intelligent Cushioning Materials

Advanced Science, EarlyView.
In this study, a multifunctional conductive sponge composite (MAPU) is developed using a biomimetic, hierarchical construction strategy emulating the growth process of natural wood. This approach involved integrating biomass‐derived graphitic nanoflakes, synthesized from luffa vine (LVGN), into a polyurethane (PU) sponge matrix.
Runmin Xu, Pusen Cao, Tingting Zhang, Jie Wei, Yue Wang, Zhi Huang, Zhenghang Chen, Jianfeng Xi, Yong Guo, Yuxia Chen   +9 more
wiley   +1 more source

A lightweight convolutional neural network for tea leaf disease and pest recognition. [PDF]

Plant Methods
Wen X, Liu Q, Tang X, Yu F, Chen J.
europepmc   +1 more source

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

Advanced Science, EarlyView.
ABSTRACT The blood‐brain barrier (BBB) renders the delivery of nanomedicine in the brain ineffective and the detection of circulating disease‐related DNA from the brain unreliable. Here, we demonstrate that microbubble‐enhanced focused ultrasound (MB‐FUS) mediated BBB opening, supported by large‐data models predict sonication regimens for safe 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

Dual-Path Convolutional Neural Network with Squeeze-and-Excitation Attention for Lung and Colon Histopathology Classification. [PDF]

J Imaging
AlShehri H.
europepmc   +1 more source

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

MedNeXt for accurate medical image classification and segmentation: A lightweight transformer-style convolutional neural network. [PDF]

PLoS One
Xue Z, Pi P, Liu Z, Zeng Z, Sun Z.
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

Smartphone-based multispectral autofluorescence analysis of bacteria mixtures of staphylococci using convolutional neural network. [PDF]

J Biol Eng
Reynolds J, Sosnowski K, Carlson C, McGuire TD, Roman W, Yoon JY.   +5 more
europepmc   +1 more source