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《医学前沿（英文）》 2014年 第8卷 第3期 页码 272-278 doi: 10.1007/s11684-014-0364-9
Recent development on statistical methods for personalized medicine discovery
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《医学前沿（英文）》 2013年 第7卷 第1期 页码 102-110 doi: 10.1007/s11684-013-0245-7
It is well documented that patients can show significant heterogeneous responses to treatments so the best treatment strategies may require adaptation over individuals and time. Recently, a number of new statistical methods have been developed to tackle the important problem of estimating personalized treatment rules using single-stage or multiple-stage clinical data. In this paper, we provide an overview of these methods and list a number of challenges.
关键词： dynamic treatment regimes personalized medicine reinforcement learning Q-learning
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《医学前沿（英文）》 2014年 第8卷 第3期 页码 337-346 doi: 10.1007/s11684-014-0349-8
Traditional Chinese medicine (TCM) investigates the clinical diagnosis and treatment regularities in a typical schema of personalized medicine, which means that individualized patients with same diseases would obtain distinct diagnosis and optimal treatment from different TCM physicians. This principle has been recognized and adhered by TCM clinical practitioners for thousands of years. However, the underlying mechanisms of TCM personalized medicine are not fully investigated so far and remained unknown. This paper discusses framework of TCM personalized medicine in classic literatures and in real-world clinical settings, and investigates the underlying mechanisms of TCM personalized medicine from the perspectives of network medicine. Based on 246 well-designed outpatient records on insomnia, by evaluating the personal biases of manifestation observation and preferences of herb prescriptions, we noted significant similarities between each herb prescriptions and symptom similarities between each encounters. To investigate the underlying mechanisms of TCM personalized medicine, we constructed a clinical phenotype network (CPN), in which the clinical phenotype entities like symptoms and diagnoses are presented as nodes and the correlation between these entities as links. This CPN is used to investigate the promiscuous boundary of syndromes and the co-occurrence of symptoms. The small-world topological characteristics are noted in the CPN with high clustering structures, which provide insight on the rationality of TCM personalized diagnosis and treatment. The investigation on this network would help us to gain understanding on the underlying mechanism of TCM personalized medicine and would propose a new perspective for the refinement of the TCM individualized clinical skills.
关键词： personalized medicine complex network clinical phenotype network traditional Chinese medicine
Multistage analysis method for detection of effective herb prescription from clinical data
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《医学前沿（英文）》 2018年 第12卷 第2期 页码 206-217 doi: 10.1007/s11684-017-0525-8
Determining effective traditional Chinese medicine (TCM) treatments for specific disease conditions or particular patient groups is a difficult issue that necessitates investigation because of the complicated personalized manifestations in real-world patients and the individualized combination therapies prescribed in clinical settings. In this study, a multistage analysis method that integrates propensity case matching, complex network analysis, and herb set enrichment analysis was proposed to identify effective herb prescriptions for particular diseases (e.g., insomnia). First, propensity case matching was applied to match clinical cases. Then, core network extraction and herb set enrichment were combined to detect core effective herb prescriptions. Effectiveness-based mutual information was used to detect strong herb–symptom relationships. This method was applied on a TCM clinical data set with 955 patients collected from well-designed observational studies. Results revealed that groups of herb prescriptions with higher effectiveness rates (76.9% vs. 42.8% for matched samples; 94.2% vs. 84.9% for all samples) compared with the original prescriptions were found. Particular patient groups with symptom manifestations were also identified to help investigate the indications of the effective herb prescriptions.
关键词： effective prescription detection herb set enrichment analysis core network extraction insomnia personalized treatment
Personalized medicine of type 2 diabetes
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《医学前沿（英文）》 2013年 第7卷 第1期 页码 1-3 doi: 10.1007/s11684-013-0241-y
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《医学前沿（英文）》 2016年 第10卷 第1期 页码 104-110 doi: 10.1007/s11684-016-0432-4
Advances in next-generation sequencing and bioinformatics have begun to reveal the complex genetic landscape in human cancer genomes, including oral squamous cell carcinoma (OSCC). Sophisticated preclinical models that fully represent intra- and inter-tumoral heterogeneity are required to understand the molecular diversity of cancer and achieve the goal of personalized therapies. Patient-derived xenograft (PDX) models generated from human tumor samples that can retain the histological and genetic features of their donor tumors have been shown to be the preferred preclinical tool in translational cancer research compared with other conventional preclinical models. Specifically, genetically well-defined PDX models can be applied to accelerate targeted antitumor drug development and biomarker discovery. Recently, we have successfully established and characterized an OSCC PDX panel as part of our tumor bio-bank for translational cancer research. In this paper, we discuss the establishment, characterization, and preclinical applications of the PDX models. In particular, we focus on the classification and applications of the PDX models based on validated annotations, including clinicopathological features, genomic profiles, and pharmacological testing information. We also explore the translational value of this well-annotated PDX panel in the development of co-clinical trials for patient stratification and treatment optimization in the near future. Although various limitations still exist, this preclinical approach should be further tested and improved.
关键词： patient-derived xenograft models personalized medicine co-clinical trial patient stratification oral squamous cell carcinoma
Personalized biomedical devices & systems for healthcare applications
I-Ming CHEN, Soo Jay PHEE, Zhiqiang LUO, Chee Kian LIM
《机械工程前沿（英文）》 2011年 第6卷 第1期 页码 3-12 doi: 10.1007/s11465-011-0209-z
With the advancement in micro- and nanotechnology, electromechanical components and systems are getting smaller and smaller and gradually can be applied to the human as portable, mobile and even wearable devices. Healthcare industry have started to benefit from this technology trend by providing more and more miniature biomedical devices for personalized medical treatments in order to obtain better and more accurate outcome. This article introduces some recent development in non-intrusive and intrusive biomedical devices resulted from the advancement of niche miniature sensors and actuators, namely, wearable biomedical sensors, wearable haptic devices, and ingestible medical capsules. The development of these devices requires carful integration of knowledge and people from many different disciplines like medicine, electronics, mechanics, and design. Furthermore, designing affordable devices and systems to benefit all mankind is a great challenge ahead. The multi-disciplinary nature of the R&D effort in this area provides a new perspective for the future mechanical engineers.
关键词： personalized medical devices wearable sensor haptic device ingestible medical capsule
Translational medicine promising personalized therapy in oncology
Yi-Xin ZENG, Xiao-Shi ZHANG, Qiang LIU,
《医学前沿（英文）》 2010年 第4卷 第4期 页码 351-355 doi: 10.1007/s11684-010-0320-2
Do not let precision medicine be kidnapped
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《医学前沿（英文）》 2015年 第9卷 第4期 页码 512-513 doi: 10.1007/s11684-015-0425-8
Obama’s precision medicine initiative made the medical community boil over after the initiative’s release. Precision medicine has been advocated by the majority of scientists and doctors. However, some experts have questioned this concept. This article does not oppose precision medicine. However, the incentive of vigorously promoting precision medicine at present is a concern.
实现隐私保护个性化推荐服务 Review
王聪, 郑宜峰, 蒋精华, 任奎
《工程（英文）》 2018年 第4卷 第1期 页码 21-28 doi: 10.1016/j.eng.2018.02.005
推荐系统对于向用户提供个性化服务至关重要。通过个性化的推荐服务，用户可以享受各种有针对性的推荐，如电影、书籍、广告、餐馆等。此外，个性化推荐服务极大地推动了在线业务收入的增长。尽管存在诸多好处，但采用个性化推荐服务通常需要收集用户的个人数据以进行处理和分析，会让用户怀疑个人隐私遭到严重侵犯。因此，在尊重用户隐私的前提下开发实用的隐私保护技术来维护个性化推荐服务提供的数据尤为重要。在本文中，我们提供了与隐私保护的个性化推荐服务相关文献的综合调查。我们介绍了个性化推荐系统的总体架构、其中的隐私问题以及集中于隐私保护个性化推荐服务的现有研究。根据个性化推荐和隐私保护的核心支撑技术，我们对现有研究进行了分类，并对其优缺点进行了深入的讨论和对比，特别是针对隐私和推荐的准确性。与此同时，我们也确定了一些未来的研究方向。
Rita Rebelo,Ana Isabel Barbosa,Vitor M. Correlo,Rui L. Reis
《工程（英文）》 2021年 第7卷 第12期 页码 1696-1699 doi: 10.1016/j.eng.2021.08.010
通过行为足迹学习人类习惯的个性化服务机器人 Article
李坤, Max Q.-H. Meng
《工程（英文）》 2015年 第1卷 第1期 页码 79-84 doi: 10.15302/J-ENG-2015024
对家用的私人机器人来说，个性化服务和预先设计的任务同样重要，因为机器人需要根据操作者的习惯调整住宅状况。为了学习由诱因、行为和回报构成的操作者习惯，本文介绍了行为足迹，以描述操作者在家中的行为，并运用逆向增强学习技巧提取用回报函数代表的操作者习惯。本文用一个移动机器人调节室内温度，来实施这个方法，并把该方法和记录操作者所有诱因和行为的基准办法相比较。结果显示，提出的方法可以使机器人准确揭示操作者习惯，并相应地调节环境状况。
《环境科学与工程前沿（英文）》 2022年 第16卷 第11期 doi: 10.1007/s11783-022-1577-9
● Reduce the quantifying MPs time by using Nile red staining.
关键词： Microplastics Municipal wastewater treatment plant Phthalate esters Thermal hydrolysis
孙曦,吕志民
《信息与电子工程前沿（英文）》 2023年 第24卷 第9期 页码 1273-1286 doi: 10.1631/FITEE.2200304
标题 作者 时间 类型 操作
Utilizing big data to build personalized technology and system of diagnosis and treatment in traditional
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期刊论文
Clinical phenotype network: the underlying mechanism for personalized diagnosis and treatment of traditional
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期刊论文
Multistage analysis method for detection of effective herb prescription from clinical data
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期刊论文
of OSCC: a renewable human bio-bank for preclinical cancer research and a new co-clinical model for treatment
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期刊论文
Personalized biomedical devices & systems for healthcare applications
I-Ming CHEN, Soo Jay PHEE, Zhiqiang LUO, Chee Kian LIM
期刊论文
Translational medicine promising personalized therapy in oncology
Yi-Xin ZENG, Xiao-Shi ZHANG, Qiang LIU,
期刊论文
Occurrence and migration of microplastics and plasticizers in different wastewater and sludge treatmentunits in municipal wastewater treatment plant
期刊论文
罗军：Treatment Selection in Prostate Cancer（2019年8月16日）
2021年04月22日
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