【摘 要】
：
Lung diseases,including COVID-19 and lung cancers,is a huge threat to human health.However,for the treatment and diagnosis of various lung diseases,such as pneumonia,asthma,cancer,and pulmonary tuberculosis,are becoming increasingly challenging.Currently,
【机 构】
：
Department of Hematology,The Seventh Affiliated Hospital,Sun Yat-sen University,Shenzhen 518107,Chin
论文部分内容阅读
Lung diseases,including COVID-19 and lung cancers,is a huge threat to human health.However,for the treatment and diagnosis of various lung diseases,such as pneumonia,asthma,cancer,and pulmonary tuberculosis,are becoming increasingly challenging.Currently,several types of treatments and/or diagnostic methods are used to treat lung diseases;however,the occurrence of adverse reactions to chemotherapy,drug-resistant bacteria,side effects that can be significantly toxic,and poor drug delivery necessitates the development of more promising treatments.Nanotechnology,as an emerging technology,has been extensively studied in medicine.Several studies have shown that nano-delivery systems can significantly enhance the targeting of drug delivery.When compared to traditional delivery methods,several nanoparticle delivery strategies are used to improve the detection methods and drug treatment efficacy.Transporting nanoparticles to the lungs,loading appropriate therapeutic drugs,and the incorporation of intelligent functions to overcome various lung barriers have broad prospects as they can aid in locating target tissues and can enhance the therapeutic effect while minimizing systemic side effects.In addition,as a new and highly contagious respiratory infection disease,COVID-19 is spreading worldwide.However,there is no specific drug for COVID-19.Clinical trials are being conducted in several countries to develop antiviral drugs or vaccines.In recent years,nanotechnology has provided a feasible platform for improving the diagnosis and treatment of diseases,nanotechnology-based strategies may have broad prospects in the diagnosis and treatment of COVID-19.This article reviews the latest developments in nanotechnology drug delivery strategies in the lungs in recent years and studies the clinical application value of nanomedicine in the drug delivery strategy pertaining to the lung.
其他文献
近年来,推荐系统的实用价值越来越高,良好的推荐算法可以给用户提供好的用户体验效果,然而随着信息化的不断增长,信息过载问题变得越来越突出,用户懒于对物品评分已经成为习惯.怎样向这些特定用户群体提供好的推荐算法、提高推荐质量已经成为现在的热门问题.为了更好地推动推荐系统的发展,解决这些特定用户群体的评分稀疏问题,提出一种受约束的贝叶斯概率矩阵分解算法.该算法针对特定的评分稀疏用户引入一种潜在的相似度约束矩阵来影响用户的特征向量,并结合最大后验概率(Maximum A Posteriori,MAP)估计和蒙特卡
随着5G/B5G的不断发展,无人机在实时数据采集系统中将有广泛应用.利用无人机先给传感器节点进行无线充电,然后传感器节点利用收集到的能量将感知的信息上传无人机,可有效解决户外物联网节点的供电与数据采集问题.然而,由于无人机本身的电量受限,如何在保证无人机充电辅助物联网系统顺利完成新鲜数据采集任务的前提下最小化无人机的能耗至关重要.为此,在满足信息采集新鲜度的要求下,通过联合优化无人机的飞行时间、加速度、转角和传感器节点信息上传和能量收集调度模式,建立无人机能耗最小化优化问题.由于该问题含有整数变量,大规模
近年来,基于基因表达微阵列数据的生物标记物示性基因的识别在生物信息学领域备受关注.自发性早产(Spontaneous Preterm Birth,SPTB)生物标记物的成功鉴定有利于降低孕妇早产的风险,具有重要的研究价值.提出一种从公开基因表达数据中识别SPTB生物标记物的方法.首先,从公开数据库下载SPTB的基因表达数据,运用支持向量机-递归特征消除(Support Vector Machine-Recursive Feature Elimination,SVM-RFE)进行基因特征选择,并与其他机器学
音频对抗样本可以用于提高音频目标分类系统的可靠性,然而目前音频对抗样本的感知质量较低,生成质量不能令人满意.为提升音频对抗样本的质量,首次采用生成对抗网络(Generative Adversarial Network,GAN)实现音频目标分类的对抗样本生成.提出用于音频目标分类对抗样本生成的通用GAN框架,将待攻击的分类模型引入GAN.在此基础上,提出基于GAN的分段扰动/整体攻击(GAN-based Segmented-perturbation Overall-attack,SOGAN)方法.SOGAN
强混响环境下的话者数量是语音处理应用中的关键信息.以不同话者语音之间的频域幅度平方相干(Magnitude Squared Coherence,MSC)为特征进行话者计数,首先提取语音中的短时频域MSC特征,再采用K-medoids算法对其进行聚类得到话者个数.该方法无需麦克风间距和话者到麦克风之间相对距离的先验信息.不同混响条件、不同信噪比和不同麦克风间距的实验结果表明,频域MSC特征与话者是相干的,与基于广义互相关相位变换(Generalized Cross-Correlation Phase Tra
回旋加速器中的超导磁体由于加工和安装误差会在垂直方向上存在偏移现象.该现象导致加速器内磁场偏离设计,影响束流的有效加速.目前测量超导磁体的垂直偏移主要依靠机械测量和力学传感器监控,这些方法只能在工程上确定超导磁体是否对中,而最后的对中效果仍需要通过磁场测量确认.基于中俄正在联合研制的200 MeV超导质子回旋加速器SC200,详细阐述直接利用其中平面平均径向场相对变化计算超导磁体垂直偏移的过程.对比模拟和实验的数据表明,该方法能够将主加速区中平面的平均径向场控制在±1 Gs以内,即实现了超导磁体在垂直方向
针对聚类算法常见的难以确定参数、难以适应各种形状的数据集、在提高算法普适性时时间复杂度增大的问题,提出一种新的聚类算法:结合数据集全局和局部的特征寻找样本点距离的突变位置,通过计算样本点的簇内最小距离实现凸球型数据集的聚类;在此基础上提出子簇连结性强弱的概念,依据两个容易确定的参数进行子簇合并来适应各种形状的数据集.将该算法与DBSCAN (Density-Based Spatial Clustering of Applications with Noise)等多种聚类算法在四种经典数据集上比较,结果表明
由于台风的风速大、湍流活跃,台风过境时会对房屋、桥梁等建筑物造成严重危害.利用2019年8月8日至11日利奇马台风过境浙江时的近地层湍流资料,对利奇马台风的风速、风向、攻角、湍流强度、阵风因子、湍流积分尺度、湍流功率谱特征进行了分析.结果 表明:(1)在台风前期和大风期,随着台风接近,慈溪观测场附近的风速急剧增大,流场主要为偏东气流;在台风后期,随着台风远离观测场,风速迅速减小,风向逐渐由偏东风转为西南风.(2)在台风前期和大风期,攻角、湍流强度和阵风因子都比较小;而在台风后期,攻角、湍流强度和阵风因子都
Thermoelectric (TE) devices can realize the conversion of heat energy and electrical power based on Seebeck effect and Peltier effect.Among them,flexible TE devices have received more attention recently due to their better attachment to various heat sourc
Photocatalysis,via conversion of light into valuable chemicals,is an economic and effective way to utilize inexhaustible solar energy for the sustainable development of our human society.Aiming at killing two birds with one stone,metal nanoparticle (MNP)/