WormCNN-Assisted Establishment and Analysis of Glycation Stress Models in C. elegans: Insights into Disease and Healthy Aging
Published in International Journal of Molecular Sciences, 2024
The WormCNN project originated from challenges I encountered during C. elegans lifespan assays (2022–present). In practice, human observers can often visually distinguish worms that appear biologically older or younger than others. This led me to explore whether a computer vision model could be trained to replicate this capability—enabling earlier and more objective assessments of worm health status (e.g., premature aging or youthfulness). Since 2025, I have been continuing to develop and enhance WormCNN to expand its functionality and accuracy.
Recommended citation: Yan Pan; Zhihang Huang; Hongxia Cai; Zhiru Li; Jingyuan Zhu; Dan Wu; Wentao Xu; Hexiang Qiu; Nan Zhang; Guojun Li; Shan Gao; Bo Xian. WormCNN-Assisted Establishment and Analysis of Glycation Stress Models in _C. elegans_: Insights into Disease and Healthy Aging. International Journal of Molecular Sciences 2024, 25, 9675 .
Download Paper | Download Slides