Results 151 to 160 of about 5,528,069 (258)

Improved Nondestructive Ultrasound Molecular Imaging With Lightweight Convolutional Neural Network. [PDF]

IEEE Trans Med Imaging
Baek J, Hyun D, Natarajan A, Tabesh F, Paulmurugan R, Dahl JJ.   +5 more
europepmc   +1 more source

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

Advanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo, Qianqian Zhang, Chenhao Wang, Zhiheng Yi, Alex Jinpeng Wang, Jing Tang, Min Li   +6 more
wiley   +1 more source

Rheumatoid arthritis classification using hybrid pretrained quantum convolutional neural network. [PDF]

Front Artif Intell
Jeyamani D, Panjanathan R.
europepmc   +1 more source

STWave: Fine‐Scale Spatial Structure Discovery in Microscopic‐Resolution Spatial Transcriptomics via Patchwise Wavelet Graphs

Advanced Science, EarlyView.
STWave transforms massive microscopic‐resolution spatial transcriptomics into interpretable fine‐scale tissue maps through patch‐wise inference, wavelet‐based multi‐scale encoding, and dual‐domain reconstruction. It reduces noise while preserving weak spatial signals, enabling efficient analysis of 6 40 000 spots of 2.47 GB GPU memory and revealing ...
Tao Jiang, Songming Zhang, Xiaofeng Chen, Xiongtao Xiao, Wenming Cao, Weikai Li, Tong Zhao, Bing Li, Xinyue Xu, Zhongshan Li   +9 more
wiley   +1 more source

Gate‐Tunable Polarity‐Reconfigurable Photovoltaic Response With Dual Linearity in NbS3/WSe2 Heterostructures for In‐Sensor Image Processing

Advanced Science, EarlyView.
An NbS3/WSe2 van der Waals heterostructure realizes a continuously gate‐tunable self‐powered photovoltaic response through interfacial band‐alignment modulation and reversible built‐in electric‐field switching. The short‐circuit photocurrent scales linearly with incident power density, while short‐circuit photoresponsivity varies linearly with gate ...
Jidong Liu, Jianxiong Xie, Qiaoyan Hao, Yutao Hu, Zhen He, Haolin Liu, Danting Lin, Haibo Gan, Yudi Tu, Wenjing Zhang   +9 more
wiley   +1 more source

Deep convolutional neural network-based automated identification and classification of mungbean foliar diseases. [PDF]

Front Artif Intell
Bala S, Harlapur SI, Kanade AK, Potdar MP, Balol GB, Kuligod VB, Rani LU.   +6 more
europepmc   +1 more source

NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment

Advanced Science, EarlyView.
The non‐invasive NICE framework, built on an ensemble stacking machine learning model, prioritizes embryos by analyzing cell‐free DNA from spent culture medium. By integrating multimodal signals, including genomic and epigenetic profiles, this automated approach standardizes morphological assessment without human bias, paving the way for more precise ...
Xueya Zhou, Shu Ding, Zhenyi Zhang, Qiaoling Shangguan, Jie Qiao, Peijie Zhou, Yidong Chen   +6 more
wiley   +1 more source

Gasoline Adulteration Analysis Based on Raman Spectroscopy and a Multi-Scale Convolutional Neural Network. [PDF]

ACS Omega
Bai Y, Yuan Y, Yang H, Li Y, Zuo Y, Xiao Z, Kang M, Tang B.   +7 more
europepmc   +1 more source

Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics

Advanced Science, EarlyView.
This work presents an integrated diagnostic platform that combines microfluidic single‐cell bacterial detection with artificial intelligence‐driven analysis for rapid antimicrobial susceptibility testing. Single‐cell phenotyping enables assessment of antibiotic response in only a few cell replication cycles, while AI analysis supports precise bacterial
Sabita Khadka, Bushra Raahat, Spyros Tragoudas, Hui Li   +3 more
wiley   +1 more source

A Unified Hierarchical Multiscale Fusion Framework for Drug–Target Affinity Prediction: From Benchmark Performance to Nanomolar Inhibitor Discovery

Advanced Science, EarlyView.
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu, Xiang Zhang, Haixia Feng, Yuquan Li, Xiaoqing Gong, Yong Liang, Xiaojun Yao, Huanxiang Liu   +7 more
wiley   +1 more source