High-throughput screening paradigms in ecotoxicity testing: Emerging prospects and ongoing challenges

D Wlodkowic, M Jansen - Chemosphere, 2022 - Elsevier
The rapidly increasing number of new production chemicals coupled with stringent
implementation of global chemical management programs necessities a paradigm shift …

Electrochemical biosensing and deep learning-based approaches in the diagnosis of covid-19: A review

O Sadak, F Sadak, O Yildirim, NM Iverson… - IEEE …, 2022 - ieeexplore.ieee.org
COVID-19 caused by the transmission of SARS-CoV-2 virus taking a huge toll on global
health and caused life-threatening medical complications and elevated mortality rates …

DR-Net: dual-rotation network with feature map enhancement for medical image segmentation

H You, L Yu, S Tian, W Cai - Complex & Intelligent Systems, 2021 - Springer
To obtain more semantic information with small samples for medical image segmentation,
this paper proposes a simple and efficient dual-rotation network (DR-Net) that strengthens …

An improved automated zebrafish larva high-throughput imaging system

G Zhang, X Yu, G Huang, D Lei, M Tong - Computers in Biology and …, 2021 - Elsevier
As a typical multicellular model organism, the zebrafish has been increasingly used in
biological research. Despite the efforts to develop automated zebrafish larva imaging …

Bringing Artificial Intelligence (AI) into Environmental Toxicology Studies: A Perspective of AI-Enabled Zebrafish High-Throughput Screening

N Wang, G Dong, R Qiao, X Yin… - Environmental Science & …, 2024 - ACS Publications
The booming development of artificial intelligence (AI) has brought excitement to many
research fields that could benefit from its big data analysis capability for causative …

Automatic reorientation by deep learning to generate short-axis SPECT myocardial perfusion images

F Zhu, G Wang, C Zhao, S Malhotra, M Zhao… - Journal of Nuclear …, 2023 - Springer
Background Single photon emission computed tomography (SPECT) myocardial perfusion
images (MPI) can be displayed both in traditional short-axis (SA) cardiac planes and polar …

Knock-in of a large reporter gene via the high-throughput microinjection of the CRISPR/Cas9 system

S Chen, Y Jiao, F Pan, Z Guan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The non-viral delivery of the prokaryotic clustered regularly interspaced short palindromic
repeats (CRISPR)-associated protein 9 (Cas9) nuclease system provides promising …

Res-Dom: predicting protein domain boundary from sequence using deep residual network and Bi-LSTM

L Wang, H Zhong, Z Xue, Y Wang - Bioinformatics Advances, 2022 - academic.oup.com
Motivation Protein domains are the basic units of proteins that can fold, function and evolve
independently. Protein domain boundary partition plays an important role in protein structure …

Reconfigurable Formation Control for Coordinated Micromanipulation of Cross-Scale Targets in Railed Multiprobe Robot

H Wang, J Chen, H Tao, H Hu, Q Shi… - IEEE/ASME …, 2023 - ieeexplore.ieee.org
Contact micromanipulations are mostly based on multirobot coordinated operations for
specific tasks and targets. However, micromanipulations involve a highly orchestrated set of …

可解释的知识图谱推理方法综述

夏毅, 兰明敬, 陈晓慧, 罗军勇, 周刚… - 网络与信息安全 …, 2022 - infocomm-journal.com
近年来, 以深度学习模型为基础的人工智能研究不断取得突破性进展, 但其大多具有黑盒性,
不利于人类认知推理过程, 导致高性能的复杂算法, 模型及系统普遍缺乏决策的透明度和可解释 …