SLAS Technology最新文献_第4页

Clinical observation of VR virtual reality rehabilitation training combined with acupuncture in the treatment of mild cognitive impairment

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-01-23 DOI: 10.1016/j.slast.2025.100250

Ying Fu, Hui Wang

Mild cognitive impairment (MCI) is an intermediate state between normal aging and dementia, and its symptoms include easy forgetting, distraction, and mental deterioration. This directly affects the patient's motor function, daily living ability, and social adaptability, and brings many difficulties to the patient's reintegration into society. Therefore, clinical research on MCI is very necessary. The purpose of this paper is to study the efficacy of acupuncture and moxibustion in the treatment of MCI based on VR virtual reality technology. This paper firstly expounds the application prospect of VR virtual reality rehabilitation training and virtual scene intervention in MCI patients. It then introduces the characteristics of acupuncture and the acupuncture points of scalp acupuncture and eye acupuncture. This paper then establishes the algorithm model of the VR virtual reality rehabilitation training system, which lays a solid foundation for the design of the subsequent rehabilitation training system. This paper then conducts clinical experiments and analysis on the treatment of mild cognitive impairment, which establishes a treatment group and a control group for comparative experiments. The experimental results showed that the combined effect size OR = 2.74 of the meta-analysis, the combined effect size test statistic Z = 3.38, WMD = 2.42, and the 95 % CI was (1.98, 3.06). It indicated that the treatment group had better efficacy. The MMSE score and MoCA score of the treatment group after treatment and training increased by 28.68 % and 15.36 %, respectively, and the scores were higher than those of the control group. Therefore, the use of VR virtual reality technology combined with acupuncture is of great significance for the rehabilitation and treatment of patients with mild cognitive impairment.

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引用次数: 0

Study on the quality of drug vial recognition and grasping and opening for pharmacy intravenous admixture robot based on nanophotonic sensing 基于纳米光子传感的静脉输液机器人药瓶质量识别及抓取打开研究。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-01-18 DOI: 10.1016/j.slast.2025.100244

Li Guochun , Ye Jiandong , Zhao Huaibi , Xu Hong , Jin Haiyang , Huang Xinwu , Deng Gulin

With the continuous progress of medical technology, traditional medicine bottle identification and management methods have problems such as low efficiency and large errors, and innovative solutions are urgently needed. Due to its high sensitivity and rapid response characteristics, this study aims to develop a robot system for intravenous infusion based on nanophotonics sensing to realize accurate identification, grasping and opening of medicine bottles in a dynamic environment, so as to improve the safety and efficiency of intravenous infusion. In this paper, an intelligent robot system with nanophotonics sensor is designed, which uses nanomaterials to produce high sensitivity sensor, so as to realize the information recognition of medicine bottle labels. The robot arm is set up to grasp and open the medicine bottle automatically through visual recognition system and feedback control algorithm. We conducted several rounds of experiments in a simulated environment to evaluate the recognition rate, grab success rate, and opening speed of the system. The experimental results show that the recognition system based on nano photonic sensor in bottle of accuracy and grab the success rate is higher, open time is greatly shortened, compared with traditional methods, the new system in recognition and operation were showed a significant advantage. The study demonstrates the potential of nanophotonics sensing technology in intravenous infusion robots. By optimizing the process of bottle recognition, grasping and opening, the system not only improves the safety and efficiency of medical operations, but is also expected to play a role in future medical automation. Future work will focus on further perfecting the system integration and optimization algorithm, so as to adapt to more complex clinical environment.

随着医疗技术的不断进步，传统的药瓶识别和管理方法存在效率低、误差大等问题，急需创新的解决方案。由于其高灵敏度和快速响应的特点，本研究旨在开发一种基于纳米光子传感的静脉输液机器人系统，实现动态环境下药瓶的准确识别、抓取和打开，从而提高静脉输液的安全性和效率。本文设计了一种具有纳米光子传感器的智能机器人系统，利用纳米材料制作高灵敏度传感器，实现药瓶标签的信息识别。通过视觉识别系统和反馈控制算法，设置机械臂自动抓取和打开药瓶。我们在模拟环境中进行了几轮实验，评估了系统的识别率、抓取成功率和打开速度。实验结果表明，基于纳米光子传感器的瓶子识别系统的准确率和抓取成功率较高，打开时间大大缩短，与传统方法相比，新系统在识别和操作上都显示出明显的优势。该研究证明了纳米光子学传感技术在静脉输液机器人中的潜力。通过对瓶子识别、抓取和打开过程的优化，该系统不仅提高了医疗操作的安全性和效率，而且有望在未来的医疗自动化中发挥作用。未来的工作重点将是进一步完善系统集成和优化算法，以适应更复杂的临床环境。

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引用次数: 0

Clinical value of multi-slice spiral CT in evaluating preoperative TNN staging and postoperative recurrence and metastasis of colon carcinoma 多层螺旋CT评价结肠癌术前TNN分期及术后复发转移的临床价值。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-01-14 DOI: 10.1016/j.slast.2025.100247

Huili Yang, Yun Chu

Objective

To evaluate the clinical value of multi-slice spiral CT in preoperative TNN staging and postoperative recurrence and metastasis of colon carcinoma, and to provide evidence for the reliability of CT in the diagnosis of colon carcinoma

Methods

89 patients with colon carcinoma diagnosed pathologically in our hospital from July 2020 to April 2023 were selected retrospectively. The preoperative TNN staging and postoperative recurrence and metastasis were monitored by 64 row 128 layer spiral CT. The diagnostic coincidence rate, TNM staging coincidence rate and postoperative recurrent TNM staging accuracy were evaluated according to the pathological diagnosis

Results

The diagnostic coincidence rate of multi-slice spiral CT was 97.8 % (87/89), and the detection rate of lymph nodes was 86.1 % (31/36). The coincidence rate of T staging was 93.3 % (83/89), N staging was 91.0 % (81/89), M staging was 100 % (Kappa=0.897,0.879, 1.000). The diagnosis of recurrent TNM stage was consistent (Kappa=0.893, 0.801, 1.000)

Conclusion

Multi-slice spiral CT is of high diagnostic coincidence rate, high accuracy of TNM staging and rapid noninvasive examination. It can obtain reliable results in preoperative staging and postoperative recurrence and metastasis diagnosis, which is worth popularizing in clinic.

目的：评价多层螺旋CT对结肠癌术前TNN分期及术后复发转移的临床价值，为CT诊断结肠癌的可靠性提供依据。方法：回顾性分析我院2020年7月至2023年4月89例经病理诊断的结肠癌患者。采用64排128层螺旋CT监测TNN术前分期及术后复发转移情况。根据病理诊断评估诊断符合率、TNM分期符合率及术后复发TNM分期准确性。结果：多层螺旋CT诊断符合率97.8%(87/89)，淋巴结检出率86.1%（31/36）。T分期符合率为93.3% (83/89)，N分期符合率为91.0% (81/89)，M分期符合率为100% （Kappa=0.897,0.879, 1.000）。结论：多层螺旋CT对复发性TNM分期的诊断符合率高，对TNM分期的诊断准确率高，具有快速无创检查的优点。该方法在术前分期和术后复发转移诊断方面均可获得可靠的结果，值得临床推广。

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引用次数: 0

High-throughput hit identification with acoustic ejection mass spectrometry 高通量声波弹射质谱识别。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-01-10 DOI: 10.1016/j.slast.2025.100245

Xiujuan Wen, David G. McLaren

This mini-review provides an overview of recent developments in AEMS supporting hit identification in drug discovery, emphasizing its potential to enhance the quality and efficiency of label-free HTS. Future advancements that may further expand the role of AEMS in the drug discovery process will also be discussed.

这篇微型综述概述了 AEMS 在支持药物发现中的新药鉴定方面的最新进展，强调了其在提高无标记 HTS 的质量和效率方面的潜力。此外，还将讨论未来可能进一步扩大 AEMS 在药物发现过程中的作用的进展。

引用次数: 0

Harnessing NLP to investigate biomarker interactions and CVD risks in elderly chronic kidney disease patients 利用NLP研究老年慢性肾病患者的生物标志物相互作用和心血管疾病风险

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-01-09 DOI: 10.1016/j.slast.2025.100243

Hongli Han

Chronic kidney disease (CKD) significantly increases the risk of CVD diseases, particularly among elderly patients. Understanding the interaction between several biomarkers and cardiovascular (CVD) risks is crucial for improving patient outcomes and tailoring personalized treatment strategies. There is much more to learn about the intricate relationship between biomarkers and CVD risks in elderly CKD patients. Research aims to harness natural language processing (NLP) strategies to investigate the interaction between biomarkers and CVD risks in elderly patients with CKD. This research examined how changes in baseline values of four novel and classic cardiac biomarkers relate to the danger of CVD, and all-cause death in a large cohort of patients with CKD. Initially, medical data were collected from EHR of elderly CKD patients. NLP technique, such as Named Entity Recognition (NER), is used to extract the relevant biomarkers and CVD risk factors from the data. Statistical techniques were applied to examine the associations between biomarkers and CVD risks. The predictive models, using a combination of structured and NLP-extracted features demonstrated improved accuracy in forecasting CVD outcomes compared to traditional methods. This investigation highlights the critical role of specific biomarkers like PTH and FGF-23 in predicting CVD outcomes, providing insights into the possibility of using EHR data for better patient management and enhancing predictive models for this high-risk population.

慢性肾脏疾病（CKD）显著增加心血管疾病的风险，特别是在老年患者中。了解几种生物标志物与心血管（CVD）风险之间的相互作用对于改善患者预后和定制个性化治疗策略至关重要。关于老年CKD患者生物标志物与心血管疾病风险之间的复杂关系，还有很多需要了解的。研究旨在利用自然语言处理（NLP）策略来研究老年CKD患者生物标志物与CVD风险之间的相互作用。本研究调查了四种新型和经典心脏生物标志物基线值的变化与大量CKD患者CVD危险和全因死亡的关系。最初，从老年CKD患者的电子病历中收集医疗数据。NLP技术，如命名实体识别（NER），用于从数据中提取相关的生物标志物和心血管疾病的危险因素。应用统计技术检查生物标志物与心血管疾病风险之间的关系。与传统方法相比，使用结构化和nlp提取特征相结合的预测模型在预测CVD结果方面具有更高的准确性。这项研究强调了PTH和FGF-23等特定生物标志物在预测CVD结果中的关键作用，为使用EHR数据进行更好的患者管理和增强这一高危人群的预测模型提供了可能性。

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引用次数: 0

Do-it-yourself instrument integration into an existing mammalian cell line development automation platform 自己动手的仪器集成到现有的哺乳动物细胞系开发自动化平台。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-01-09 DOI: 10.1016/j.slast.2025.100246

Jie Ding, Kee Wee Tan, Xiaoyue Chen

Laboratory automation in the biopharmaceutical industry as a rule requires contracted service from highly professional automation solution provider, at times involving the purchase and development of specialized or customized hardware and software, which can be proprietary and expensive. Alternatively, with the availability of open-source software customized for automation, it is possible to automate existing laboratory instruments in a do-it-yourself (DIY), low-cost, and flexible fashion. In this work, we used an open-source scripting language, AutoIt, to integrate an existing microplate imager into an existing automation platform that is already equipped with a 4-axis robotic arm and an automated incubator, to achieve automation of the imaging procedure in our cell line development workflow. Furthermore, optimizations were performed using AutoIt to improve the overall automated imaging process, namely i) incorporating an automated scan profile selection step, ii) setting up automated handling of system errors, and iii) setting up remote handling of system errors. In summary, the use of AutoIt for DIY instrument integration proves to be cost-saving, versatile, and able to enhance the efficiency of automation workflows in the laboratory.

生物制药行业的实验室自动化通常需要高度专业的自动化解决方案提供商的合同服务，有时涉及购买和开发专门或定制的硬件和软件，这可能是专有的和昂贵的。另外，随着为自动化定制的开源软件的可用性，有可能以自己动手（DIY）、低成本和灵活的方式自动化现有的实验室仪器。在这项工作中，我们使用了一种开源脚本语言AutoIt，将现有的微孔板成像仪集成到现有的自动化平台中，该平台已经配备了一个4轴机械臂和一个自动培养箱，以实现我们细胞系开发工作流程中成像过程的自动化。此外，使用AutoIt进行了优化，以改进整个自动化成像过程，即i)纳入自动扫描配置文件选择步骤，ii)设置自动处理系统错误，以及iii)设置远程处理系统错误。综上所述，使用AutoIt进行DIY仪器集成证明是节省成本的，通用的，并且能够提高实验室自动化工作流程的效率。

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引用次数: 0

Corrigendum to “Artificial intelligence-driven predictive framework for early detection of still birth” [SLAS Technology Volume 29, Issue 6, 100203, December 2024] “人工智能驱动的死产早期检测预测框架”的勘误表[SLAS技术第29卷，第6期，100203,2024年12月]。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2024-12-30 DOI: 10.1016/j.slast.2024.100236

Sarah A. Alzakari , Asma Aldrees , Muhammad Umer , Lucia Cascone , Nisreen Innab , Imran Ashraf

引用次数: 0

Automation and miniaturization of high-throughput qPCR for gene expression profiling 用于基因表达谱分析的高通量qPCR的自动化和小型化。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2024-12-25 DOI: 10.1016/j.slast.2024.100241

Santhi Raveendran , Asma Saeed , Mahesh Kumar Reddy Kalikiri , Harshitha Shobha Manjunath , Alia Al Massih , Muna Al Hashmi , Iman Al Azwani , Basirudeen Syed Ahamed Kabeer , Rebecca Mathew , Sara Tomei

Quantitative PCR (qPCR) is a technique commonly employed in laboratories and core facilities. In our previous study, we had shown the possibility to automate steps in a panel-specific gene expression workflow by pairing Mosquito HV with BioMark HD. Here we aimed to automate the full workflow and explore miniaturization capabilities. Each step of the gene expression workflow was scripted on Mosquito HV genomics software. We performed three different automated runs: i. Replicates of a Reference RNA sample (obtained by pooling RNA isolated from 10 healthy individuals) were run on an immunology gene expression panel. We tested the full reaction (FR) and three miniaturization conditions, namely: 1.5x, 2.5x and 5x; the data obtained from the automated FR replicates was compared to the data obtained from the manual processing; ii. Biological RNA samples (isolated from n = 45 individuals) were run as FR and 1.5x on the immunology gene expression panel; iii. Biological RNA samples (isolated from n = 45 individuals) were run as FR and 1.5x on a pregnancy gene expression panel. The expression of each gene was calculated using the 2^{(-delta Ct)} method.

Successful amplification was observed for the reference samples when using FR and 1.5x conditions. The 2.5x condition exhibited suboptimal amplification with a lower success rate while the 5x condition retrieved no amplification. The 2.5x and 5x miniaturization conditions were excluded from further runs. A strong significant positive correlation was observed between the manual and automated workflows for the reference RNA sample, underscoring the robustness of the gene expression assay. The automation of the immunology and pregnancy gene expression panels on the 45 individual samples retrieved a success rate >70 % for both the FR and the 1.5x miniaturization conditions. A significant positive correlation was also observed between the FR and 1.5x miniaturization conditions for both panels.

Our results show that the adoption and the 1.5x miniaturization capabilities of Mosquito HV system for automating the gene expression workflow did not interfere with data quality and reproducibility.

定量PCR （qPCR）是实验室和核心设施中常用的一种技术。在我们之前的研究中，我们已经展示了通过将蚊子HV与BioMark HD配对来自动化面板特异性基因表达工作流程步骤的可能性。在这里，我们的目标是自动化整个工作流并探索小型化功能。基因表达流程的每一步都在Mosquito HV基因组软件上编写脚本。我们进行了三种不同的自动化运行：i.在免疫学基因表达面板上运行参考RNA样本（通过汇集从10个健康个体分离的RNA获得）的复制。我们测试了全反应（FR）和3种小型化条件，即1.5倍、2.5倍和5倍；将自动FR重复获得的数据与手工处理获得的数据进行比较；2。生物RNA样本（从n=45个个体中分离）在免疫学基因表达面板上作为FR和1.5倍运行；3。生物RNA样本（从n=45个个体中分离）在妊娠基因表达面板上作为FR和1.5倍运行。采用2（- δ δ Ct）法计算各基因的表达量。在FR和1.5倍条件下，观察到参考样品扩增成功。2.5倍条件下扩增效果不佳，成功率较低，而5倍条件下没有扩增。2.5倍和5倍的小型化条件被排除在进一步的运行中。在参考RNA样本的手动和自动化工作流程之间观察到强烈的显著正相关，强调了基因表达测定的稳健性。在FR和1.5倍小型化条件下，45个个体样本的免疫学和妊娠基因表达面板的自动化成功率均为70%。在两个面板的FR和1.5倍小型化条件之间也观察到显著的正相关。我们的研究结果表明，采用蚊子HV系统自动化基因表达工作流程和1.5倍的小型化能力不会影响数据质量和可重复性。

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引用次数: 0

Enhancing drug discovery and patient care through advanced analytics with the power of NLP and machine learning in pharmaceutical data interpretation 通过NLP和机器学习在药物数据解释中的力量，通过高级分析增强药物发现和患者护理。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2024-12-24 DOI: 10.1016/j.slast.2024.100238

Nagalakshmi R , Surbhi Bhatia Khan , Ananthoju Vijay kumar , Mahesh T R , Mohammad Alojail , Saurabh Raj Sangwan , Mo Saraee

This study delves into the transformative potential of Machine Learning (ML) and Natural Language Processing (NLP) within the pharmaceutical industry, spotlighting their significant impact on enhancing medical research methodologies and optimizing healthcare service delivery. Utilizing a vast dataset sourced from a well-established online pharmacy, this research employs sophisticated ML algorithms and cutting-edge NLP techniques to critically analyze medical descriptions and optimize recommendation systems for drug prescriptions and patient care management. Key technological integrations include BERT embeddings, which provide nuanced contextual understanding of complex medical texts, and cosine similarity measures coupled with TF-IDF vectorization to significantly enhance the precision and reliability of text-based medical recommendations. By meticulously adjusting the cosine similarity thresholds from 0.2 to 0.5, our tailored models have consistently achieved a remarkable accuracy rate of 97 %, illustrating their effectiveness in predicting suitable medical treatments and interventions. These results not only highlight the revolutionary capabilities of NLP and ML in harnessing data-driven insights for healthcare but also lay a robust groundwork for future advancements in personalized medicine and bespoke treatment pathways. Comprehensive analysis demonstrates the scalability and adaptability of these technologies in real-world healthcare settings, potentially leading to substantial improvements in patient outcomes and operational efficiencies within the healthcare system.

本研究深入探讨了机器学习（ML）和自然语言处理（NLP）在制药行业的变革潜力，突出了它们对增强医学研究方法和优化医疗保健服务提供的重大影响。利用来自一个完善的在线药房的庞大数据集，本研究采用复杂的ML算法和尖端的NLP技术来批判性地分析医学描述并优化药物处方和患者护理管理的推荐系统。关键技术集成包括BERT嵌入，它提供了对复杂医学文本的细致入微的上下文理解，余弦相似性度量与TF-IDF矢量化相结合，显著提高了基于文本的医学推荐的精度和可靠性。通过精心调整余弦相似阈值从0.2到0.5，我们的定制模型始终达到97%的显着准确率，说明了它们在预测合适的医疗和干预措施方面的有效性。这些结果不仅突出了NLP和ML在利用数据驱动的医疗洞察方面的革命性能力，而且为个性化医疗和定制治疗途径的未来发展奠定了坚实的基础。综合分析表明，这些技术在实际医疗保健环境中的可扩展性和适应性，可能会显著改善患者的治疗效果和医疗保健系统内的操作效率。

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引用次数: 0

Exploratory insights from the immuno-oncology hollow fiber assay: A pilot approach bridging In Vitro and In Vivo models 免疫肿瘤学中空纤维试验的探索性见解：一种连接体外和体内模型的试点方法。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2024-12-01 DOI: 10.1016/j.slast.2024.100232

Tove Selvin , Malin Berglund , Anders Åkerström , Marco Zia , Jakob Rudfeldt , Malin Jarvius , Rolf Larsson , Claes R Andersson , Mårten Fryknäs

To facilitate the translation of immunotherapies from bench to bedside, predictive preclinical models are essential. We developed the in vivo immuno-oncology Hollow Fiber Assay (HFA) to bridge the gap between simpler cell-based in vitro assays and more complex mouse models for immuno-oncology drug evaluation. The assay involves co-culturing human cancer cell lines or primary patient-derived cancer cells with human immune cells inside semipermeable hollow fibers. Implanted intraperitoneally in mice, the fibers captured treatment-induced immune cell-mediated cancer cell killing following treatments with aCD3 and/or IL-2, demonstrating the feasibility of the assay. Traditional models require lengthy observation periods to monitor tumor growth and treatment response. The immuno-oncology HFA enables a rapid initial in vivo evaluation of immunological agents on cancer and immune cells of human origin, addressing two of the 3Rs — reduction and refinement — in animal research.

为了促进免疫疗法从实验室到床边的转化，预测性临床前模型是必不可少的。我们开发了体内免疫肿瘤中空纤维试验（HFA），以弥补基于细胞的简单体外试验和更复杂的免疫肿瘤药物评估小鼠模型之间的差距。该试验涉及将人类癌细胞系或原发患者来源的癌细胞与人类免疫细胞在半透性中空纤维内共培养。在小鼠腹腔内植入后，纤维捕获了aCD3和/或IL-2治疗后诱导的免疫细胞介导的癌细胞杀伤，证明了该试验的可行性。传统模型需要较长的观察期来监测肿瘤生长和治疗反应。免疫肿瘤学HFA使免疫制剂对癌症和人类起源的免疫细胞的快速初步体内评估成为可能，解决了动物研究中的两个3r -还原和细化。

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引用次数: 0