面向肿瘤标志物检测的量子增强增益协同纳米等离激元传感器及智能诊疗方法研究

癌症是威胁人类生命健康的重大因素，而我国的癌症发病率与死亡率更是位居全球第一，是困扰我国人民健康的主要因素。早期筛查诊断和精准预后是治愈癌症的关键，但现有筛查诊断方法灵敏度和特异性较低。本项目面向癌症早期筛查诊断和预后评估的重大需求，针对肿瘤标志物传感器灵敏度和检测限相互矛盾、不能同时满足需求的难题，提出量子增强增益协同纳米等离激元传感器，建立全面考虑量子增强、增益补偿、低维材料富集、基底材料与结构等参数的传感器性能多目标综合优化模型，设计并制备高灵敏度、低检测限传感器，实现超痕量肿瘤标志物的精准测量，为癌症的早期筛查诊断提供依据。针对癌症筛查诊断和预后评估准确度较低的问题，建立基于肿瘤标志物和医学影像等临床信息的筛查诊断模型，提出引入连续检测患者治疗过程中指标数据作为实时反馈，进行动态风险预测，建立个性化精准预后评估模型，重点突破数据来源有限和特征分散问题，提高筛查诊断与预后评估准确度。

Cancer is a major threat to human life and health. The incidence rate and mortality rate of cancer in China is the first place in the world, and it is the main factor that perplexes the health of our people. Early screening diagnosis and accurate prognosis are the key to cure cancer, but the sensitivity and specificity of existing screening diagnosis methods are low. This project aims at the major needs of cancer early screening diagnosis and prognosis evaluation. In view of the problem that the sensitivity and detection limit of tumor marker sensor are contradictory and can not meet the needs at the same time, a quantum enhanced gain coordinated nano plasmon sensor is proposed to establish the sensor property that comprehensively considers the parameters of quantum enhancement, gain compensation, low dimensional material enrichment, substrate material and structure It can design and prepare high sensitivity, low detection limit sensor, realize the accurate measurement of ultra trace tumor markers, and provide the basis for the early screening and diagnosis of cancer. In view of the low accuracy of cancer screening diagnosis and prognosis evaluation, a screening diagnosis model based on clinical information such as tumor markers and medical images is established. The index data in the process of continuous detection of patients' treatment is introduced as real-time feedback for dynamic risk prediction, and a personalized accurate prognosis evaluation model is established, which focuses on breaking through the problems of limited data sources and scattered features, Improve the accuracy of screening diagnosis and prognosis evaluation.