SLAS Technology最新文献

{"title":"Integrating NLP and LLMs to discover biomarkers and mechanisms in Alzheimer's disease","authors":"JinTao Song,&nbsp;JunJie Huang,&nbsp;RuiLi Liu","doi":"10.1016/j.slast.2025.100257","DOIUrl":"10.1016/j.slast.2025.100257","url":null,"abstract":"<div><div>Alzheimer's disease (AD) is a progressive neurological condition characterized by cognitive decline, memory loss, and aberrant behaviour. It affects millions of people globally and is one of the main causes of dementia. The neurodegenerative condition known as AD has intricate, multifaceted mechanisms that make it difficult to comprehend and identify in its early stages. Conventional diagnostic techniques frequently fail to detect the disease in its early stages. By combining Natural Language Processing (NLP) and Large Language Models (LLMs), this research suggests a novel approach for identifying potential biomarkers and underlying mechanisms of AD. Clinical data is gathered from publicly accessible databases and healthcare facilities, including genetic information, neuroimaging scans, and medical records. The pre-processing of unstructured clinical notes involves tokenization and genetic profiles and neuroimaging data are normalized by Z-score normalization for consistency. Multi-Input Convolutional Neural Networks (MI-CNN) are employed to efficiently fuse diverse data sources, allowing for a thorough analysis. Key biomarkers linked to AD are identified and categorized using the Genetic Algorithm combined with Bidirectional Encoder Representations from Transformers (BERT) (GenBERT). By fine-tuning BERT's hyperparameters using genetic optimization approaches, GenBERT enables the effective analysis of large medical datasets, such as patient histories, genetic data, and clinical notes. The combination strategy increases feature selection and the model's capacity to identify minute genomic and linguistic patterns suggestive of AD. The goal of this integrated strategy is to provide early diagnostic tools and new insights into the pathogenesis of the disease, which could transform methods for detecting and treating AD. As it concerns early AD prediction, the GenBERT model performs better than current techniques, obtaining the highest accuracy (98.30%) and F1-score (0.97), as well as greater precision (0.95) and recall (0.92). Additionally, it demonstrates its capacity to reliably identify both positive and negative AD cases with sensitivity (98.65%) and specificity (99.73%). Overall, GenBERT offers a trustworthy and useful tool for AD early diagnosis.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"31 ","pages":"Article 100257"},"PeriodicalIF":2.5,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143484644","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}

{"title":"Semi-automated layer-by-layer biofabrication using rotational internal flow layer engineering technology","authors":"Gwyneth West ,&nbsp;Sneha Ravi ,&nbsp;Jamie A Davies ,&nbsp;Ian Holland","doi":"10.1016/j.slast.2025.100256","DOIUrl":"10.1016/j.slast.2025.100256","url":null,"abstract":"<div><div>The automation of biofabrication processes has the potential to increase both the scale and reproducibility of human tissue production for replacing animal usage in research and ultimately clinical use. The biofabrication technology, Rotational Internal Flow Layer Engineering (RIFLE), produces layered tubular constructs with a resolution commensurate with the microscale strata observed in many human tissue types. The previously published RIFLE process required liquid phase cell-laden hydrogels to be manually applied onto the inner surface of a high-speed rotating mould. Here we describe improvement of the RIFLE system by automating elements of the process, in particular the liquid dispensing element, and present the use of this system for two commonly used biofabrication hydrogels; alginate and collagen. Semi-automatically assembled cell layers matched the viabilities of those produced manually, with automated collagen demonstrating the highest viabilities (&gt;91 %) over the 10 days measured, highlighting its advantages as a material for tissue engineering applications. The encapsulation of labelled cells in predefined collagen layer patterns confirmed that the semi-automated RIFLE system was able to assemble separate cell populations in cell-width layers (≈14 µ m). Semi-automated dosing reduced the manual operations in the RIFLE process, reducing the workload on researchers and minimising the opportunity for human error. Further opportunity exists for higher levels of automation in the overall process, particularly needed in the preparation of cell-hydrogel suspensions, a common manual labour-intensive process in many biofabrication technologies.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"31 ","pages":"Article 100256"},"PeriodicalIF":2.5,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143484656","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}

{"title":"Enhanced construction of a bivalent adenovirus-based vaccine for preventing childhood pathogens: Human respiratory syncytial virus and norovirus","authors":"Ying-Chin Chen ,&nbsp;Nai-Hsiang Chung ,&nbsp;Yu-Ching Lin ,&nbsp;Shu-Ling Yu ,&nbsp;Chia-Chyi Liu ,&nbsp;Yen-Hung Chow","doi":"10.1016/j.slast.2025.100255","DOIUrl":"10.1016/j.slast.2025.100255","url":null,"abstract":"<div><div>To impede the spread of respiratory syncytial virus (RSV) and norovirus (NoV) in children, we developed novel recombinant adenoviruses expressing RSV fusion (F) and NoV VP1 proteins driven by different promoter elements (EF1α, SV40, and CMV), resulting in Ad-F/E/NoV, Ad-F/S/NoV, and Ad-F/C/NoV, respectively. The expressed F can be recognized by postfusion-specific antibody targeting to site II and prefusion-specific antibodies targeting to sites V and Ø in the Ad-F-infected cells. However, NoV VP1 is only expressed in Ad-F/E/NoV and Ad-F/C/NoV-infected cells. Intraperitoneal two-dose with monovalent Ad-F and all three bicistronic Ads individually in rodents induced anti-F neutralizing antibodies similarly. Ad-F/C/NoV and Ad-F/E/NoV but not Ad-F/S/NoV significantly induced NoV VP1-specific IgG. The serum from Ad-F/C/NoV-immunized subjects elicited superior anti-NoV activity, as evidenced by reduced binding of NoV VLPs to histo-blood group antigens. Ad-F/C/NoV and Ad-F/E/NoV-immunized mice exhibited elevated cellular immune-mediated splenic IFN-γ and IL-4 secretions. In the RSV challenge study, pulmonary virions were significantly decreased during the vaccination with each of the three bicistronic Ads, confirming their efficacy in preventing RSV infection. Finally, the mucosal (intranasal) immunization in mice with Ad-F/C/NoV induced superior anti-RSV and NoV IgA in both serum and vaginal washes specific to RSV and NoV were highly induced. These findings highlight the optimization of an Ad vaccine targeting two pathogens prevalent in childhood. Additionally, the results underscore the utility of mucosal delivery of Ad vaccines as a valuable strategy for public vaccination efforts.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"31 ","pages":"Article 100255"},"PeriodicalIF":2.5,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419191","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}

{"title":"Towards robotic Laboratory Automation Plug & Play: LAPP reference implementation with the TIAGo mobile manipulator","authors":"Panna Zsoldos ,&nbsp;Ádám Wolf ,&nbsp;Károly Széll ,&nbsp;Péter Galambos","doi":"10.1016/j.slast.2025.100251","DOIUrl":"10.1016/j.slast.2025.100251","url":null,"abstract":"<div><div>Laboratory automation with mobile manipulators presents a promising avenue for enhancing efficiency and reducing the dependency on human activity in laboratory workflows. To achieve seamless integration, the Laboratory Automation Plag &amp; Play concept has been introduced. This study presents an experimental implementation of the LAPP concept through the development of labware transfer functionality for a mobile manipulator employing the SiLA and ROS frameworks as widely accepted control layers. While validating the feasibility of the LAPP concept, this reference implementation accentuates the need for advancements in both hardware and software environments to fully capitalize on its benefits in contemporary laboratory settings.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"31 ","pages":"Article 100251"},"PeriodicalIF":2.5,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143374918","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}

{"title":"Systemic trafficking of macrophages in implant wear debris-induced periprosthetic osteolysis","authors":"Mengyun Lou","doi":"10.1016/j.slast.2025.100254","DOIUrl":"10.1016/j.slast.2025.100254","url":null,"abstract":"<div><div>Periprosthetic osteolysis (PPOL) is a significant complication post-joint replacement, often instigated by implant wear debris, leading to chronic inflammation and bone resorption. Herein, this review summarizes the immune mechanisms of PPOL, specifically, the processes where macrophages are recruited by implant wear debris, the mechanisms by which macrophages trigger inflammatory cascades, and the role of chemokines that facilitate macrophage migration, including CCL2, CCL3, CCL4, CCL5, CXCL8, CX3CL1, and XCL1. This review highlights novel findings on these processes and suggests that illustrating these mechanisms offers promising avenues for future therapeutic strategies to prevent and treat PPOL, such as the potential use of anti-inflammatory drugs.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"31 ","pages":"Article 100254"},"PeriodicalIF":2.5,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366814","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}

{"title":"Life Sciences discovery and technology highlights","authors":"Tal Murthy ,&nbsp;Jamien Lim","doi":"10.1016/j.slast.2024.100235","DOIUrl":"10.1016/j.slast.2024.100235","url":null,"abstract":"","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"30 ","pages":"Article 100235"},"PeriodicalIF":2.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142792793","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}

{"title":"Model-based interactive visualization for complex systems requirements and design in joint tests","authors":"Chao Sun ,&nbsp;Ruo Wu Wu ,&nbsp;Si Yuan Liu","doi":"10.1016/j.slast.2024.100231","DOIUrl":"10.1016/j.slast.2024.100231","url":null,"abstract":"<div><div>This study presents an interactive visualization-based Model-Based Systems Engineering (MBSE) technique that is especially designed to handle requirements analysis and design issues in joint test settings. Standardized operational requirement description, test requirement analysis, test design, and first test system plan generation are the four primary phases that make up the technique. This method provides a more thorough and approachable depiction of both operational and test requirements by utilizing interactive visualization techniques. This makes it possible for test staff to more accurately and efficiently develop, visualize, and improve test plans. The methodology's efficacy in augmenting the capabilities of joint testing platforms is demonstrated through a thorough case study of a joint test. Higher levels of accuracy and dependability in test results are eventually a result of this approach's strong support for requirements analysis, test design, and the general execution and assessment of joint tests inside complex systems.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"30 ","pages":"Article 100231"},"PeriodicalIF":2.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142830873","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}

{"title":"Implementing enclosed sterile integrated robotic platforms to improve cell-based screening for drug discovery","authors":"Alice Rockliffe ,&nbsp;Lauren Wheeler ,&nbsp;Kiran Lidhar ,&nbsp;Arun Dhar ,&nbsp;Michelle Pemberton ,&nbsp;Richard Kasprowicz ,&nbsp;Ceridwen Hopely ,&nbsp;Jo Francis ,&nbsp;Shane Marine ,&nbsp;David Brierley ,&nbsp;Lorna Suckling","doi":"10.1016/j.slast.2024.100230","DOIUrl":"10.1016/j.slast.2024.100230","url":null,"abstract":"<div><div>At GSK, we have implemented custom integrated robotics platforms housed in bespoke biosafety enclosures to augment our capabilities in advanced cellular screening. Here we present and discuss the impact of one such system, the Cellular Automated Screening Platform (CASPer). We evaluate the benefits of implementing specific processes on CASPer that include increasing the throughput of safety screening assays and improving data integrity when testing complex <em>in vitro</em> 3D primary human hepatocyte models. This article provides an overview of the platforms installed and offers insight into their utilisation by presenting example workflows and quality control solutions which have been implemented. We offer perspective on the advantages of such custom integrated systems and their limitations in cellular screening for early drug discovery.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"30 ","pages":"Article 100230"},"PeriodicalIF":2.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142792790","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}

{"title":"Mobile robots in automated laboratory workflows","authors":"J. Huang ,&nbsp;H. Liu ,&nbsp;S. Junginger ,&nbsp;K. Thurow","doi":"10.1016/j.slast.2024.100240","DOIUrl":"10.1016/j.slast.2024.100240","url":null,"abstract":"<div><div>The automation of life science laboratory workflows is becoming increasingly important for optimizing efficiency and accuracy in research facilities. In this paper, we present a new paradigm for the integration of MOLAR Automated Guided Vehicles (AGV) into multi-floor laboratory workflows at the Center for Life Science Automation (CELISCA), which transports labware and materials between different workbenches across two floors. SAMI (Beckman Coulter, California, United States) sends mobile robots to connect highly distributed instrument equipment, enabling seamless and efficient laboratory material automated transportation. The MOLAR robot has the capability to interact with laboratory infrastructure, including elevators, automatic doors, workbenches, and the high-level control system. This innovative paradigm represents a comprehensive solution for executing transportation tasks in an intelligent laboratory environment using mobile robots, demonstrating consistent stability and exceptional effectiveness in real-world applications.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"30 ","pages":"Article 100240"},"PeriodicalIF":2.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171680","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}

{"title":"Application of ATR-FTIR spectroscopy and multivariate statistical analysis in cancer diagnosis","authors":"Ao Song ,&nbsp;Wanli Yang ,&nbsp;Jun Wang ,&nbsp;Yisa Cai ,&nbsp;Lizheng Cai ,&nbsp;Nan Pang ,&nbsp;Ruihua Yu ,&nbsp;Zhikun Liu ,&nbsp;Chao Yang ,&nbsp;Feng Jiang","doi":"10.1016/j.slast.2025.100253","DOIUrl":"10.1016/j.slast.2025.100253","url":null,"abstract":"<div><div>Lung cancer is one of the most prevalent and lethal malignant tumors worldwide. Currently, clinical diagnosis primarily relies on chest X-ray examinations, histopathological analysis, and the detection of tumor markers in blood. However, each of these methods has inherent limitations. The current study aims to explore novel diagnostic approaches for lung cancer by employing attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy in conjunction with multiple machine learning models. Fourier transform infrared spectroscopy can detect subtle differences in the material structures that reflect the carcinogenic process between lung cancer tissues and normal tissues. By applying principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) to analyze infrared spectral data, these subtle differences can be amplified. The study revealed that the combination of spectral bands within the 3500–3000 cm^-1 and 1600–1500 cm^-1 ranges is particularly significant for differentiating between the two groups. Three classification models—Support Vector Machine (SVM), k-Nearest Neighbor (kNN), and Linear Discriminant Analysis (LDA)—were constructed for spectral analysis of various band combinations. The results indicated that in detecting lung cancer samples, the combination of the 3500–3000 cm^-1 and 1600–1500 cm^-1 bands offers significant advantages. The analysis of the receiver operating characteristic (ROC) curve demonstrated that the area under the curve (AUC) exceeded 0.95 for all models, with the LDA model achieving an accuracy rate of 99.4% in identifying lung cancer patients compared to healthy individuals. The findings suggest that the integration of ATR-FTIR spectroscopy with multiple machine learning models represents a promising auxiliary diagnostic method for clinical lung cancer diagnosis, enabling detection at the molecular level.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"31 ","pages":"Article 100253"},"PeriodicalIF":2.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143124002","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}