目的评价靶向二代测序(targeted next generation sequencing,tNGS)技术在骨关节布氏菌病病原学诊断中的应用价值。方法收集河北省胸科医院收治的108例疑似骨关节布氏菌病患者的病例资料进行研究,主要根据流行病史、临床表现、影像学表...目的评价靶向二代测序(targeted next generation sequencing,tNGS)技术在骨关节布氏菌病病原学诊断中的应用价值。方法收集河北省胸科医院收治的108例疑似骨关节布氏菌病患者的病例资料进行研究,主要根据流行病史、临床表现、影像学表现、实验室和病原学检查结果及抗布氏杆菌治疗效果进行临床综合诊断。根据最终临床诊断将患者分为骨关节布氏菌病组78例和非布氏菌病组30例。所有患者入院后均进行血清试管凝集试验(serum agglutination test,SAT)检测、采用CT导航穿刺或者手术取病灶组织样本进行细菌学培养(培养法)和tNGS检测。以最终临床诊断为参照标准,比较以上3种检测方法对骨关节布氏菌病的诊断效能。结果108例疑似骨关节布氏菌病患者中,tNGS检测骨关节布氏菌病的阳性率(60/108,55.56%)明显高于SAT检测(57/108,52.78%)和培养法(25/108,23.15%),差异有统计学意义(χ^(2)=24.982、37.934,P<0.001)。以最终临床诊断为标准,tNGS检测、SAT检测和培养法检测骨关节布氏菌病的敏感度分别为76.92%、64.10%和32.05%,特异度分别为100.00%、76.67%和100.00%,诊断符合率分别为83.35%、67.59%和50.92%,Kappa值分别为0.799、0.590和0.504。结论tNGS在骨关节布氏菌病患者的病原学诊断中具有较高的病原体检出率和敏感度,为骨关节布氏菌病患者的精准诊治提供重要参考。展开更多
新工科对人才的要求是实践能力强、创新能力强,这对高等教育院校的工科教育提出了更高的要求,同时信息时代也迎来了人工智能(AI)的飞速发展,为如何激发学生创造力、提升学生实践的能力提供了良好的机遇与挑战。本文以《医用化学实验》...新工科对人才的要求是实践能力强、创新能力强,这对高等教育院校的工科教育提出了更高的要求,同时信息时代也迎来了人工智能(AI)的飞速发展,为如何激发学生创造力、提升学生实践的能力提供了良好的机遇与挑战。本文以《医用化学实验》课程教学为基础,介绍了该实验课程的主要内容,针对课程实验教学中当前存在的问题,提出了人工智能技术融入实验教学的改革探索,包括对教学内容的设计,教学方法的改进以及教学效果的评价相结合。通过改革,改善教学效果,提升学生的科学研究能力和创新能力。The requirements of new engineering are strong practical ability and innovation ability, which puts forward higher requirements for engineering education in colleges and universities. Meanwhile, the rapid development of artificial intelligence (AI) has appeared in the current information age, which provides good opportunities and challenges for how to stimulate students’ creativity and improve students’ practical ability. Based on the teaching of the course of Medical Chemistry Experiment, this paper introduces the main content of the experiment course, and the existing problems in the experimental teaching of such course. According to the existing problems of such course, this paper puts forward the reform exploration of integrating artificial intelligence technology into the experiment teaching, including the design of teaching content, the improvement of teaching methods and the evaluation of teaching effect. Through the teaching reform, it will improve the teaching effect, enhance students’ scientific research ability and innovation ability.展开更多
文摘新工科对人才的要求是实践能力强、创新能力强,这对高等教育院校的工科教育提出了更高的要求,同时信息时代也迎来了人工智能(AI)的飞速发展,为如何激发学生创造力、提升学生实践的能力提供了良好的机遇与挑战。本文以《医用化学实验》课程教学为基础,介绍了该实验课程的主要内容,针对课程实验教学中当前存在的问题,提出了人工智能技术融入实验教学的改革探索,包括对教学内容的设计,教学方法的改进以及教学效果的评价相结合。通过改革,改善教学效果,提升学生的科学研究能力和创新能力。The requirements of new engineering are strong practical ability and innovation ability, which puts forward higher requirements for engineering education in colleges and universities. Meanwhile, the rapid development of artificial intelligence (AI) has appeared in the current information age, which provides good opportunities and challenges for how to stimulate students’ creativity and improve students’ practical ability. Based on the teaching of the course of Medical Chemistry Experiment, this paper introduces the main content of the experiment course, and the existing problems in the experimental teaching of such course. According to the existing problems of such course, this paper puts forward the reform exploration of integrating artificial intelligence technology into the experiment teaching, including the design of teaching content, the improvement of teaching methods and the evaluation of teaching effect. Through the teaching reform, it will improve the teaching effect, enhance students’ scientific research ability and innovation ability.
