基本信息

职称：工程师

职务：无

研究方向：人工智能和生物医学光子学

电子邮件：linjyphysics@sina.cn

个人简介

林金勇，男，博士。福建省肿瘤医院放射物理师。2018年于中国医学科学院肿瘤医院进修学习，2021年入选福建省肿瘤医院优秀青年人才计划。兼任福建省抗癌协会第一届肿瘤放射物理与治疗技术专业委员会委员、福建省医学会激光医学分会第七届委员会委员。主要研究方向为人工智能和医学影像引导的肿瘤自适应放疗、基于光学无损检测技术的肿瘤早期筛查及放疗预后预测研究（医工交叉方向）。近五年主持国家自然科学基金青年项目、福建省自然科学基金面上项目、福建省科技创新联合项目等课题5项，作为骨干成员参与1项省重点课题和1项省卫教联合课题。在SCI和国内权威期刊共发表论文32篇，其中以第一作者、共同第一作者或通讯作者身份发表论文17篇，其中SCI期刊论文12篇，包括一区6篇，二区6篇，获2018年全国放射肿瘤物理学年会“优秀论文奖”。

主要科研项目

1、基于血液cfDNA表面增强位移差分拉曼光谱的鼻咽癌复发转移预测研究，国家自然科学基金青年项目，2024.01~2026.12，主持

2、基于血液SERS光谱联合深度学习的局部晚期鼻咽癌预后预测研究，福建省科技创新联合资金项目，2022.10~2025.10，主持

3、基于人体尿液SERS光谱分析的结直肠癌无创检测方法研究，福建省自然科学基金面上项目，2020.11~2023.11，主持

4、螺旋断层MVCT在乳腺癌保乳放疗中精确剂量追踪的应用研究,福建省卫生厅青年科研课题，2018.05~2021.04，主持

5、基于SERS光谱血液活检技术的鼻咽癌复发转移预测研究，福建省肿瘤医院院内资助培育项目，2023.07~2025.07，主持

获奖经历

1、2020年，基于拉曼光谱技术的鼻咽癌无创筛查新方法及鼻咽癌临床诊疗研究，福建省抗癌协会科技进步奖三等奖（第五）

2、2018年，Tomo系统MVCT图像的增强优化研究，全国放射肿瘤物理学年会“优秀论文奖”

近五年发表的主要论文

[1]LinJ,WuY,LinZ,LinX,WuQ,LinJ,XuY,FengS,WuJ.Mid-level data fusion strategy based on urinary nucleosides SERS spectra and blood CEA levels for enhanced preoperative detection of lymph node metastasis in colorectal cancer.Analytica Chimica Acta2024,1332:343360.(JCR Q1，IF=5.7)

[2]Lin J, Lin D, Qiu S, Huang Z, Liu F, Huang W, Xu Y, Zhang X, Feng S. Shifted-excitation Raman difference spectroscopy for improving in vivo detection of nasopharyngeal carcinoma.Talanta2023, 257:124330.(JCR Q1，IF=6.556)

[3]Lin J, Weng Y, Lin X, Qiu S, Huang Z, Pan C, Li Y, Kong KV, Zhang X, Feng S. Highly efficient blood protein analysis using membrane purification technique and super-hydrophobic SERS platform for precise screening and staging of nasopharyngeal carcinoma.Nanomaterials2022, 12(15):2724.(JCR Q1，IF=5.719)

[4]Lin J, Huang Z, Lin X, Wu Q, Quan K, Cheng Y, Zheng M, Xu J, Dai Y, Qiu H. Rapid and label-free urine test based on surface-enhanced Raman spectroscopy for the non-invasive detection of colorectal cancer at different stages.Biomedical optics express2020, 11(12):7109-7119.(JCR Q1，IF=3.910)

[5]Lin J, Shao L, Qiu S, Huang X, Liu M, Zheng Z, Lin D, Xu Y, Li Z, Lin Y. Application of a near-infrared laser tweezers Raman spectroscopy system for label-free analysis and differentiation of diabetic red blood cells.Biomedical Optics Express2018, 9(3):984-993.(JCR Q1，IF=3.910)

[6]Lin J, Lin X, Hu C, Bai P, Yang H, Dai Y, Qiu H, Lin M, Feng S, Pan J. Silver nanoparticle based surface-enhanced Raman spectroscopy for label-free discrimination of diabetic albumin under near-infrared laser excitation.Laser Physics Letters2018, 15(9):095703.(JCR Q2，IF=2.328)

[7]Chen W, Weng S, Zhong W, Huang H, Wei G,Yang J, Zhang Z, Chen Q,Lin J(通讯作者), and Yu Y, Rapid intracellular pH measurement based on electroporation-surface-enhanced Raman scattering,Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2024, 321, 124758.(JCR Q1，IF=4.3)

[8]Lin X, Jia X,Lin J, Wu PH, Weng Y, Feng S. A comparative study based on serum SERS spectra in and on the coffee ring for high precision breast cancer detection.Journal of Raman Spectroscopy2022, 53(8):1371-1379.(JCR Q2，IF=2.727)

[9]Lin J, Feng S, Zhang X. Combining urine surface-enhanced Raman spectroscopy with PCA-SVM algorithm for improving the identification of colorectal cancer at different stages.Optoelectronics Letters2023, 19(2):101-104.

[10]Lin J.Quality assessment and quality control of t-VMAT radiotherapy planning for breast cancer between two radiotherapy systems.Medical Equipment2022, 35(22):1-4. (Chinese Journal)

[11]Lin J. Quality control and data analysis of positioning electromechanical system of CT simulator in radiotherapy.Medical Equipment2021. (Chinese Journal)

[12]Lin J, Yin X, Hu C, Cheng Y, You H, Zhang X, Lin S. Dosimetric evaluation of atlas-based autosegmentation (ABAS) software in head-and-neck cancer radiotherapy.Journal of Chinese Oncology 2018, 24(6):5. (Chinese Journal)

[13]Lin X, Wu Q,Lin J, Liu X, Jia X, Peng M, Lin D, Qiu S, Feng S. Label‐free liquid biopsy based on urine analysis using surface‐enhanced Raman spectroscopy for noninvasive gastric and breast cancer detection.Journal of Raman Spectroscopy2020, 51(11):2245-2254.

[14]Lin X, Wang L, Lin H, Lin D,Lin J, Liu X, Qiu S, Xu Y, Chen G, Feng S. A novel urine analysis technique combining affinity chromatography with Au nanoparticle based surface enhanced Raman spectroscopy for potential applications in non‐invasive cancer screening.Journal of biophotonics2019, 12(4):e201800327.