2 citations · 5 across the 13 of their papers we have counts for
6 papers · 1 filter
pLDDT-Predictor: High-speed Protein Screening Using Transformer and ESM2
Joongwon Chae, Zhenyu Wang, Ijaz Gul +3
Recent advancements in protein structure prediction, particularly AlphaFold2, have revolutionized structural biology by achieving near-experimental accuracy ($\text{average RMSD} <…
Deep learning enables automated assessments of inflammatory response in zebrafish exposed to different pollutants
Lulu Xu, Peiwu Qin, Zhenglin Chen +1
In the field of environmental toxicology, rapid and precise assessment of the inflammatory response to pollutants in biological models is critical. This study leverages the power o…
Application and prospect of hydrogels in diabetic wound treatment
Jiayi Yang, Peiwu Qin, Zhenglin Chen
Diabetic foot patients face persistent, challenging wounds, prompting a quest for innovative therapies. Hydrogel, a promising modality, is increasingly recognized for its potential…
Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy
Boyuan Peng, Jiaju Chen, P. Bilha Githinji +9
Cell segmentation is essential in biomedical research for analyzing cellular morphology and behavior. Deep learning methods, particularly convolutional neural networks (CNNs), have…
Pneumonia App: a mobile application for efficient pediatric pneumonia diagnosis using explainable convolutional neural networks (CNN)
Jiaming Deng, Zhenglin Chen, Minjiang Chen +4
Mycoplasma pneumoniae pneumonia (MPP) poses significant diagnostic challenges in pediatric healthcare, especially in regions like China where it's prevalent. We introduce Pneumonia…
Harnessing Intra-group Variations Via a Population-Level Context for Pathology Detection
P. Bilha Githinji, Xi Yuan, Zhenglin Chen +8
Realizing sufficient separability between the distributions of healthy and pathological samples is a critical obstacle for pathology detection convolutional models. Moreover, these…