以具备典型物理-计算机学科交叉特色的2024年诺贝尔物理学奖为背景，将大学物理实验涉及到的表面增强拉曼散射（SERS）光谱技术作为切入点，引导医学本科生借助物理光谱学技术对比健康对照组与肝癌组的血清SERS光谱差异并进行振动键归属溯源，探索出两类人群血清中的肝癌标志物AFP及CA19-9含量差异.进一步探究这种“医学-物理-计算”学科交叉型案例对交叉物理人才培养的作用，对于拓宽创新交叉型物理人才培养模式的改革思路极具借鉴性.

Against the backdrop of the 2024 Nobel Prize in Physics, which is a typical physicscomputer science crossover, takes the surfaceenhanced Raman scattering (SERS) spectroscopy technique involved in university physics experiments as an entry point, and guides undergraduate medical students to compare the differences in serum SERS spectra between the healthy control group and the hepatocellular carcinoma group by means of physical spectroscopy and to trace back the vibrational bonds, so as to explore the differences in serum levels of The differences in serum levels of AFP and CA199 were explored between the two groups. Further investigation of this ‘medicinephysicscomputing’ crossdisciplinary case on the training of crossdisciplinary physics talents is very useful for broadening the reform ideas of innovative crossdisciplinary physics talents training mode.