生物医药

（1）智能物联网技术在生物医学领域的应用研究：借助物联网软硬件系统与人工智能技术，开展面向癌症与代谢性疾病诊疗、慢病管理的数据智能分析、风险预测模型的开发，以及物联网传感器节点、可穿戴设备、智能关网等终端系统与云平台的构建；
（2）人工智能驱动的医学检验技术：利用机器学习、计算机视觉与生成式大语言模型等建模技术，研究针对医学显微图像、肿瘤标志物、拉曼光谱、质谱图谱等医学检验数据分析处理的技术与方法；
（3）多组学融合赋能的肿瘤精准诊疗技术：结合深度学习、影像组学及多组学融合技术，开展跨尺度跨组学数据融合模型、无监督机器学习模型及深度学习模型框架的研究。

[1] Wu S, Zhang J, Wang J, Dang S, Zhao L, Chen Y, Pathogenic Bacteria Raman Spectrum Classification Method Based on Diffusion Kernel Attention. Spectroscopy and Spectral Analysis, 2025, vol.45, no 7
[2] Xu C, Cheng H, Chen Z, Wang J, Chen Y, Zhao L. Real-time Realistic Volume Rendering of Consistently High Quality with Dynamic Illumination. IEEE Transactions on Visualization and Computer Graphics. 2024 Aug 19.
[3] Cheng H, Xu C, Chen Z, Wang J, Chen Y, Zhao L. A Mixed Reality Framework for Interactive Realistic Volume Rendering with Dynamic Environment Illumination[C]. Proceedings of IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2023, pp: 741-742.
[4] Ma X, Zhao L, Dang S, Zhao Y, Lu Y, Li X, Li P, Chen Y, Mei N, Geng D. Multicenter Study of the Utility of Convolutional Neural Network and Transformer Models for the Detection and Segmentation of Meningiomas[J]. Journal of Computer Assisted Tomography, 2022: 10.1097.
[5] Chen, Y., Chanet, J. P., Hou, K. M., & Shi, H. L. Extending the RPL routing protocol to agricultural low power and lossy networks (A-LLNs). International Journal of Agricultural and Environmental Information Systems (IJAEIS), 2013, 4(4), 25-47.