AI for BioScience & BioElectronics

Shuo Meng PhD in Biomedical EngineeringQilu Medical University

My research focuses on biomedical microscopy image analysis, medical material property prediction, flexible bioelectronics, and industrial visual inspection.

30+Publications
1300+Citations
17H-index
Portrait of Shuo Meng
Research

Research directions

Microscopy | Morphology | Predictive design

AI for BioScience and Biomedical Materials

I build AI workflows for microscopy image understanding, automated morphological characterization, and predictive design of biomedical materials.

Wearables | Multimodal signals | Health assessment

BioElectronics and Intelligent Sensing

I work on multimodal sensing algorithms for wearable biomedical devices, rehabilitation assessment, and continuous health monitoring.

Texture surfaces | Defect detection | Industrial QA

Computer Vision and Industrial Intelligence

I translate computer vision methods from textile inspection to broader industrial quality control and medical-device manufacturing scenarios.

Projects

Projects

Reusable algorithm modules, analysis workflows, and prototype systems around medical imaging, biomedical materials, and rehabilitation assessment.

Outcome area

Radiotherapy Imaging Quality Control

AI modules for radiotherapy equipment, positioning CT, and adaptive radiotherapy workflows.

Outcome area

AI Microscopy for High-value Medical Materials

A microscopy digital-twin platform for R&D, QA, and product iteration.

Outcome area

Multimodal Intelligent Rehabilitation Assessment

Adaptable to rehabilitation devices, cloud platforms, robots, and home training equipment.

Papers

Publications

Automatic extraction of scale information for interactive measurement of anything in microscopy images
Knowledge-Based Systems (2025) · SCI 1区 7.6
Thermal transfer printed flexible and wearable bionic skin with bilayer nanofiber for comfortable multimodal health management
Advanced Healthcare Materials (2025) · SCI 1区 9.6
Wireless, multisensor integrated bioelectronics for real-time monitoring and assessment of muscle atrophy
Nano Letters (2025) · SCI 1区 9.1
All publications