SLAS Technology最新文献

Model-Based Interactive Visualization for Complex Systems Requirements and Design in Joint Tests.

IF 2.5 4区医学

SLAS Technology Pub Date : 2024-12-13 DOI: 10.1016/j.slast.2024.100231

Chao Sun, Ruo Wu Wu, Si Yuan Liu

引用次数: 0

Life Sciences Discovery and Technology Highlights.

IF 2.5 4区医学

SLAS Technology Pub Date : 2024-12-05 DOI: 10.1016/j.slast.2024.100235

Tal Murthy, Jamien Lim

引用次数: 0

Implementing enclosed sterile integrated robotic platforms to improve cell-based screening for drug discovery.

IF 2.5 4区医学

SLAS Technology Pub Date : 2024-12-05 DOI: 10.1016/j.slast.2024.100230

Alice Rockliffe, Lauren Wheeler, Kiran Lidhar, Arun Dhar, Michelle Pemberton, Richard Kasprowicz, Ceridwen Hopely, Jo Francis, Shane Marine, David Brierley, Lorna Suckling

引用次数: 0

Prosthesis repair of oral implants based on artificial intelligenc`e finite element analysis.

IF 2.5 4区医学

SLAS Technology Pub Date : 2024-12-04 DOI: 10.1016/j.slast.2024.100226

Yi Sun

{"title":"Prosthesis repair of oral implants based on artificial intelligenc`e finite element analysis.","authors":"Yi Sun","doi":"10.1016/j.slast.2024.100226","DOIUrl":"10.1016/j.slast.2024.100226","url":null,"abstract":"<p><p>Dentists often suggest dental implants to replace missing teeth; nevertheless, mechanical issues can develop with these implants, which could lead to prosthesis replacement or repairs. When investigating implant systems' mechanical characteristics and stress distribution, finite element analysis (FEA) is a popular computational tool. In biomechanical investigations, this strategy is widely used. However, traditional FEA methods can be tedious and require expert expertise for accurate simulation and translation of results. To automate and simplify the process of mending oral implant prostheses, the article suggests a new framework called AI-FEA. The three primary parts that make up the suggested AI-FEA framework are 1. An AI-powered model creation module that utilizes data from medical imaging to autonomously construct 3D finite element designs that are unique to each patient. Utilizing deep learning approaches, this module segments and reconstructs three-dimensional geometries from computed tomography (CT) or cone-beam CT data using material properties and boundary conditions. 2. A FEA solver that runs simulations to test the way the implant system handles different loads. This component uses state-of-the-art numerical methods to model the implant and bone interface and determine stress distributions. 3. An AI-based decision support system that takes all that data and recommends the best way to fix the prosthesis. Combining FEA findings with patient-specific variables, this decision support system uses machine learning algorithms educated on an extensive dataset of implant failure instances and repair results to provide the optimal repair strategy. For patients experiencing issues with oral implants, the suggested AI-FEA framework might mean huge time and skill savings in prosthesis repair planning, leading to better, more individualized care.</p>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":" ","pages":"100226"},"PeriodicalIF":2.5,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142787505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Notes on AEMS methods development for high throughput experimentation in drug discovery.

IF 2.5 4区医学

SLAS Technology Pub Date : 2024-12-04 DOI: 10.1016/j.slast.2024.100234

Meghav Verma, Nate Hoxie, John Janiszewski, Charles Bonney, Matthew D Hall, Sam Michael, Tom Covey, Jonathan H Shrimp

引用次数: 0

Exploratory insights from the immuno-oncology hollow fiber assay: A pilot approach bridging In Vitro and In Vivo models.

IF 2.5 4区医学

SLAS Technology Pub Date : 2024-12-03 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

引用次数: 0

Automation of multiplex biochemical assays to enhance productivity and reduce cycle time using a modular robotic platform.

IF 2.5 4区医学

SLAS Technology Pub Date : 2024-12-03 DOI: 10.1016/j.slast.2024.100233

Buyun Tang, Becky Lam, Stephanie Holley, Martha Torres, Theresa Kuntzweiler, Tatiana Gladysheva, Paul Lang

{"title":"Automation of multiplex biochemical assays to enhance productivity and reduce cycle time using a modular robotic platform.","authors":"Buyun Tang, Becky Lam, Stephanie Holley, Martha Torres, Theresa Kuntzweiler, Tatiana Gladysheva, Paul Lang","doi":"10.1016/j.slast.2024.100233","DOIUrl":"10.1016/j.slast.2024.100233","url":null,"abstract":"<p><p>Pharmaceutical and biotechnology companies are increasingly being challenged to shorten the cycle time between design, make, test, and analyze (DMTA) compounds. Automation of multiplex assays to obtain multiparameter data on the same robotic run is instrumental in reducing cycle time. Consequently, an increasing need in automated systems to streamline laboratory workflows with the goal to expedite assay cycle time and enhance productivity has grown in industrial and academic institutions in the past decades. Herein, we present a customized robotic platform with operational modularity and flexibility, designed to automate entire assay workflows involving multistep reagent dispensing, mixing, lidding/de-lidding, incubation, centrifugation, and final readout steps by linking spinnaker robot with various peripheral instruments. Compared to manual workflows, the system can seamlessly execute processes with high efficiency, evaluated by standard assay validation protocols for robustness and reproducibility. Furthermore, the system can perform multiple, independent protocols in parallel, and has high-throughput capacity. In this publication, we demonstrate that the modular robotic platform can fully automate multiplex assay workflows through 'one-click-and-run' solution with tremendous benefits in liberating manual intervention, boosting productivity while producing high-quality data combined with reduced cycle time (>20 %), as well as expanding the capacity for higher throughput.</p>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":" ","pages":"100233"},"PeriodicalIF":2.5,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142786946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating data mining and network pharmacology for traditional Chinese medicine for drug discovery of diabetic peripheral neuropathy.

IF 2.5 4区医学

SLAS Technology Pub Date : 2024-12-03 DOI: 10.1016/j.slast.2024.100228

Jing Ping, Hong-Zheng Hao, Zhen-Qi Wu, Yong-Ju Yang, He-Shan Yu

{"title":"Integrating data mining and network pharmacology for traditional Chinese medicine for drug discovery of diabetic peripheral neuropathy.","authors":"Jing Ping, Hong-Zheng Hao, Zhen-Qi Wu, Yong-Ju Yang, He-Shan Yu","doi":"10.1016/j.slast.2024.100228","DOIUrl":"10.1016/j.slast.2024.100228","url":null,"abstract":"<p><p>The purpose of this study was to examine the therapeutic potential of core traditional Chinese medicine (CTCM) in the treatment of diabetic peripheral neuropathy (DPN) through the use of a data-driven approach that combined network pharmacology and data mining. Important components of traditional Chinese medicine (TCM) and the targets that correspond with them were found through the examination of numerous databases and clinical prescriptions. The possible therapeutic pathways were investigated, with an emphasis on the AGE-RAGE pathway that was discovered via network pharmacology analysis. By evaluating histopathological alterations, inflammatory and apoptotic markers, microcirculation, and blood hypercoagulability in a rat model of DPN, the effectiveness of CTCM was confirmed.Through experimental validation in DPN rats, it was shown that CTCM improved histopathology, decreased inflammation and apoptosis, improved microcirculation, and corrected coagulation abnormalities in addition to alleviating neuropathic pain. These studies show the value of data-driven approaches in advancing traditional medicine research for drug development and offer a mechanistic basis for CTCM's therapeutic potential in DPN.</p>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":" ","pages":"100228"},"PeriodicalIF":2.5,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142787296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advanced Surface-Enhanced Raman Scattering Nanoprobes for Precise Detection of Nitroreductase in Hypoxic Tumor Cells: Improving Cancer Diagnosis.

IF 2.5 4区医学

SLAS Technology Pub Date : 2024-12-03 DOI: 10.1016/j.slast.2024.100229

Xiaoyue Zhao, Ying Zhang, Chunyan Zhu, Zhihui Yang, Xiaoyuan Chu

{"title":"Advanced Surface-Enhanced Raman Scattering Nanoprobes for Precise Detection of Nitroreductase in Hypoxic Tumor Cells: Improving Cancer Diagnosis.","authors":"Xiaoyue Zhao, Ying Zhang, Chunyan Zhu, Zhihui Yang, Xiaoyuan Chu","doi":"10.1016/j.slast.2024.100229","DOIUrl":"https://doi.org/10.1016/j.slast.2024.100229","url":null,"abstract":"<p><p>Nitroreductase (NTR) plays a critical role in the oxygen-deficient environment of anoxic tumor cells, and its identification is crucial for the diagnosis and treatment of cancer. This research introduces an innovative Surface Enhanced Raman Scattering (SERS) probe, created by attaching p-nitrothiophenol (p-NTP) to gold nanoparticles (Au NPs). This probe leverages the specific enzymatic reaction of NTR in hypoxic status, utilizing decreased NADH. The enzymatic activity of NTR transforms nitroaromatic compounds into aromatic amines, which is then reflected as a measurable shift in the SERS signal of the probe. This novel approach allows for the accurate quantification of NTR, with the sensitivity reaching a detection threshold of less than 0.02 μg/mL. The probe's non-toxic nature and superior biocompatibility facilitate its use for direct SERS investigations in A549 cells under reduced oxygen levels. We also applied this method to xenograft model. The results demonstrate a marked increase in NTR levels in tumor cells and tumor tissues in hypoxic conditions, highlighting the significance of this nanoprobe in enhancing cancer diagnostics, helping medical doctors making treatment decisions more swiftly and effectively.</p>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":" ","pages":"100229"},"PeriodicalIF":2.5,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142786906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic cleaning in acoustic ejection mass spectrometry: Enhancing the system robustness for large-scale high-throughput analysis of complex samples 声发射质谱仪中的自动清洁：增强系统鲁棒性，实现复杂样品的大规模高通量分析

IF 2.5 4区医学

SLAS Technology Pub Date : 2024-11-23 DOI: 10.1016/j.slast.2024.100227

Heguang Ji , Xuejiao Yin , Wan Ee Ang , Abdullah Bin Rawshan , Susan Gay , Jing Ma , Chiu Cheong Aw , Chang Liu

{"title":"Automatic cleaning in acoustic ejection mass spectrometry: Enhancing the system robustness for large-scale high-throughput analysis of complex samples","authors":"Heguang Ji , Xuejiao Yin , Wan Ee Ang , Abdullah Bin Rawshan , Susan Gay , Jing Ma , Chiu Cheong Aw , Chang Liu","doi":"10.1016/j.slast.2024.100227","DOIUrl":"10.1016/j.slast.2024.100227","url":null,"abstract":"<div><div>The rapid evolution of high-throughput mass spectrometry (HT-MS) technologies has positioned MS as a pivotal analytical tool across diverse disciplines. Its significance is particularly pronounced in high-throughput drug discovery and development, where MS plays a critical role throughout various phases. Acoustic ejection mass spectrometry (AEMS) is a recent addition to the HT-MS landscape, showcasing a balanced performance high analytical throughput and high data quality. Particularly, AEMS's in-line dilution feature allows the direct analysis of large-scale, complex reaction solutions without the need for sample cleanup, making it a popular choice for large-scale high-throughput screenings. However, the substantial volume of complex matrix introduces concerns about system robustness, specifically regarding the potential clogging of the sample transfer line. This study addresses this challenge by introducing an integrated automatic washing feature to the AEMS system. This enhancement significantly improves system robustness without imposing any additional demands on assay execution time. Demonstrating an extended electrode lifetime, the cleaning approach proves effective in maintaining system performance over prolonged periods, showcasing its potential for continuous large-sample-scale high-throughput analysis applications.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 6","pages":"Article 100227"},"PeriodicalIF":2.5,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142710848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0