SLAS Technology最新文献

{"title":"IoT-based approach for diabetes patient monitoring using machine learning","authors":"Sarra Ayouni ,&nbsp;Muhammad Hamza Khan ,&nbsp;Muhammad Ibrahim ,&nbsp;Mohamed Maddeh ,&nbsp;Nadeem Sarwar ,&nbsp;Nazik Alturki","doi":"10.1016/j.slast.2025.100348","DOIUrl":"10.1016/j.slast.2025.100348","url":null,"abstract":"<div><div>This study presents an IoT-based framework for real-time diabetes monitoring and management, addressing key limitations identified in previous studies by integrating four datasets: BVH Dataset, PIMA Diabetes Dataset, Simulated Dataset, and an Integrated Dataset. The proposed approach ensures diverse demographic representation and a wide range of features including real-time vital signs (e.g., oxygen saturation, pulse rate, temperature) and subjective variables (e.g., skin color, moisture, consciousness level). Advanced preprocessing techniques, including Kalman Filtering for noise reduction, KNN imputation for addressing missing data, and SMOTE-ENN for improving data quality and class balance, were employed. These methods resulted in a 25 % improvement in Recall and a 20 % increase in the F1-score, demonstrating the model's effectiveness and robustness.</div><div>By applying PCA and SHAP for feature engineering, high-impact features were identified, enabling the tuning of models such as Random Forest, SVM, and Logistic Regression, which achieved an accuracy of 97 % and an F1-score of 0.98. A novel triage system, integrated with edge and cloud computing, classifies health status in real-time (Green, Yellow, Red, Black), reducing latency by 35 %. The proposed system sets a new benchmark for scalable, individualized diabetes care in IoT-based healthcare solutions, demonstrating significant improvements in accuracy, response time, and feature incorporation compared to prior works.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100348"},"PeriodicalIF":3.7,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145071195","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}

{"title":"High-throughput cytokine detection platform for evaluation of chemical induced microglial activation","authors":"Shu Yang ,&nbsp;Kelly E. Carstens ,&nbsp;Ibukunoluwa Ipaye ,&nbsp;Xing Chen ,&nbsp;Helena T. Hogberg ,&nbsp;Nicole Kleinstreuer ,&nbsp;Thomas B. Knudsen ,&nbsp;Menghang Xia","doi":"10.1016/j.slast.2025.100347","DOIUrl":"10.1016/j.slast.2025.100347","url":null,"abstract":"<div><div>Environmental chemical exposure, such as pesticides and heavy metals, may contribute to neurodegenerative disorders through neuroinflammation. This study aims to identify suitable <em>in vitro</em> microglial models for assessing cytokine responses to potential neurotoxicants, particularly focusing on human induced pluripotent stem cell-derived microglia (hiMG). In this study, we evaluated the cytokine secretion profiles of four microglial cell types—hiMG, HMC3, IM-HM, and BV2—upon stimulation with lipopolysaccharides (LPS) using cytokine arrays. Our findings showed cytokine response patterns in hiMG cells that most closely resemble <em>in vivo</em> conditions, with significant increases in interleukin 6 (IL-6) and tumor necrosis factor-alpha (TNF-α) levels, the latter being uniquely expressed after LPS treatment. Consequently, we developed a homogeneous time-resolved fluorescence (HTRF) assay platform in a 1536-well plate format for high-throughput screening of environmental chemicals using hiMG cells. After LPS treatment, the assay window for secretion of IL-6 and TNF-α increased 3.71-fold and 2.62-fold over the vehicle control group, respectively, with respective EC₅₀ values of approximately 50 ng/mL and 90 ng/mL for IL-6 and TNF-α. We also assessed the response activity of hiMG to other stimuli, including interferon gamma and various catecholamine compounds, and nine environmental chemicals with evidence of cytokine-inducing potential in other <em>in vitro</em> assays. While all nine tested agents stimulated IL-6 and TNF-α production, three compounds (<em>e.g.</em>, picoxystrobin) showed significant stimulation of both cytokines. ​This study establishes a reliable high-throughput platform for detecting inflammatory effects of environmental toxicants in a microglial cell assay, contributing valuable insights into their neuroinflammatory potential and possible implications for neurodegenerative disorders.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100347"},"PeriodicalIF":3.7,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145056195","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}

{"title":"Staining Triad: A fully automated and zero-waste flow cytometry staining system fostering the 3R to 4R transition","authors":"Santosh Dhule ,&nbsp;Eric Corriveau ,&nbsp;Christopher Lepsy ,&nbsp;Sophie Tourdot","doi":"10.1016/j.slast.2025.100345","DOIUrl":"10.1016/j.slast.2025.100345","url":null,"abstract":"<div><div>Despite significant advances in instrumentation and robotics, the automation of cell staining in flow cytometry remains largely unaddressed. While sample acquisition in flow cytometry has been fully automated, sample staining continues to be a predominantly manual process—requiring substantial time, labor, and cost. Additionally, the repetitive nature of manual staining introduces monotony and increases the likelihood of human error. The Staining Triad presented here achieves full automation of the staining process, requiring only the input of samples and reagents, with no manual intervention. Staining performed using the Staining Triad showed a comparable biomarker profile to that of conventional manual staining. The modular and adaptable system design enables the flexibility to tailor throughput and accommodate assay-specific requirements, thereby extending its applicability to plate-based ligand binding assays. Moreover, the system eliminates the need for pipette tips, exemplifying a sophisticated and sustainable solution that enhances laboratory efficiency while reducing human error and the primary source of plastic waste in flow cytometry staining. Although 3R initiatives (Reduce, Reuse, Recycle) have helped decrease laboratory plastic waste volumes, substantial amounts are still incinerated or end up in landfills, where they persist in the environment for decades. This limitation underscores the need to incorporate a fourth R—\"Remove/Replace\"—into sustainability strategies. As flow cytometry becomes increasingly integral across various biotechnology disciplines, it is imperative to streamline associated workflows to accelerate drug discovery while preserving the environment that sustains life.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100345"},"PeriodicalIF":3.7,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144978504","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}

{"title":"Application of 3D printing imaging technology in the treatment of bronchopleural fistula with individual customized bronchial occluder","authors":"Zelin Xiao ,&nbsp;Jianqi Gao ,&nbsp;Hui Zhang ,&nbsp;Linyao Wang","doi":"10.1016/j.slast.2025.100344","DOIUrl":"10.1016/j.slast.2025.100344","url":null,"abstract":"<div><h3>Background</h3><div>Bronchopleural fistula (BPF) is a common and severe complication in thoracic surgery, characterized by its complex nature and high mortality rate. Bronchial occluder is one of the effective methods for the interventional treatment of BPF under bronchoscopy.</div></div><div><h3>Objective</h3><div>This work was to evaluate the adoption and efficacy of individualized bronchial occluder designed with the assistance of 3D printing technology in the treatment of BPF.</div></div><div><h3>Material and Methods</h3><div>This single-center, retrospective study included 60 patients (35 males and 25 females, aged 40–78 years, without severe dysfunction of major organs or history of mental disorders) diagnosed with BPF between January 2020 and December 2023, who received different treatment and were divided into the Control Group (CG, receiving thoracotomy treatment), Therapy group-I (TG-I, receiving septal occluder treatment), and Therapy group-II (TG-II, receiving treatment with 3D-printed individualized bronchial occluder). Serum levels of high-sensitivity C-reactive protein (hs-CRP) and procalcitonin (PCT) were measured by enzyme-linked immunosorbent assay preoperatively and at 1, 4, and 12 weeks postoperatively. Daytime cough scores were assessed according to guidelines, pain scores were evaluated using a visual analog scale, clinical efficacy was determined based on consensus criteria, and complications were recorded. Quantitative variables were compared using one-way ANOVA with Bonferroni correction, while categorical variables were analyzed by chi-square or Fisher’s exact test.</div></div><div><h3>Results</h3><div>the overall clinical efficacy was higher in TG-I and TG-II versus CG, with TG-II showing a greatly higher efficacy after twelve weeks of treatment (<em>P</em> &lt; 0.05). Relative to CG, both TG-I and TG-II demonstrated lower serum levels of hs-CRP and PCT, markedly reduced cough and pain symptom scores, and markedly lower complication rates (<em>P</em> &lt; 0.05). Additionally, TG-II resulted in notably lower serum inflammatory markers, cough and pain symptom scores, and complication rates versus TG-I (<em>P</em> &lt; 0.05).</div></div><div><h3>Conclusion</h3><div>The 3D-printed personalized occluder (TG-II) significantly reduced postoperative inflammatory responses and alleviated cough-associated pain, demonstrating superior short-term efficacy and safety compared to conventional treatment (CG) and commercially available occluders (TG-I). This approach offers distinct advantages for the personalized precision treatment of BPF. However, further clinical studies are required to validate its potential as an alternative to surgical repair.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100344"},"PeriodicalIF":3.7,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144978420","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}

{"title":"Bio-inspired computing and Machine learning analytics for future-oriented mental well-being","authors":"Chinmay Chakraborty ,&nbsp;Bhuvan Unhelkar ,&nbsp;Saïd Mahmoudi","doi":"10.1016/j.slast.2025.100343","DOIUrl":"10.1016/j.slast.2025.100343","url":null,"abstract":"","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"34 ","pages":"Article 100343"},"PeriodicalIF":3.7,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144862686","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}

{"title":"Life sciences and artificial intelligence","authors":"Kerstin Thurow","doi":"10.1016/j.slast.2025.100342","DOIUrl":"10.1016/j.slast.2025.100342","url":null,"abstract":"","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"34 ","pages":"Article 100342"},"PeriodicalIF":3.7,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144849637","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}

{"title":"Life sciences and society – an alphabetical journey","authors":"Kerstin Thurow","doi":"10.1016/j.slast.2025.100341","DOIUrl":"10.1016/j.slast.2025.100341","url":null,"abstract":"","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"34 ","pages":"Article 100341"},"PeriodicalIF":3.7,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144838578","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}

{"title":"Self-supervised disc and cup segmentation via non-local deformable convolution and adaptive transformer","authors":"Wenbo Zhao ,&nbsp;Yu Wang","doi":"10.1016/j.slast.2025.100338","DOIUrl":"10.1016/j.slast.2025.100338","url":null,"abstract":"<div><div>Optic disc and cup segmentation is a crucial subfield of computer vision, playing a pivotal role in automated pathological image analysis. It enables precise, efficient, and automated diagnosis of ocular conditions, significantly aiding clinicians in real-world medical applications. However, due to the scarcity of medical segmentation data and the insufficient integration of global contextual information, the segmentation accuracy remains suboptimal. This issue becomes particularly pronounced in optic disc and cup cases with complex anatomical structures and ambiguous boundaries. In order to address these limitations, this paper introduces a self-supervised training strategy integrated with a newly designed network architecture to improve segmentation accuracy. Specifically,we initially propose a non-local dual deformable convolutional block,which aims to capture the irregular image patterns(<span><math><mrow><mi>i</mi><mo>.</mo><mi>e</mi><mo>.</mo></mrow></math></span> boundary). Secondly,we modify the traditional vision transformer and design an adaptive K-Nearest Neighbors(KNN) transformation block to extract the global semantic context from images. Finally,an initialization strategy based on self-supervised training is proposed to reduce the burden on the network on labeled data. Comprehensive experimental evaluations demonstrate the effectiveness of our proposed method, which outperforms previous networks and achieves state-of-the-art performance,with IOU scores of 0.9577 for the optic disc and 0.8399 for the optic cup on the REFUGE dataset.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"34 ","pages":"Article 100338"},"PeriodicalIF":3.7,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144823210","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}

{"title":"Life sciences discovery and technology highlights","authors":"Tal Murthy ,&nbsp;Jamien Lim","doi":"10.1016/j.slast.2025.100340","DOIUrl":"10.1016/j.slast.2025.100340","url":null,"abstract":"","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"34 ","pages":"Article 100340"},"PeriodicalIF":3.7,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144800921","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}

{"title":"Nanosilver Gel, as a novel therapeutic approach, ameliorates wound healing in hand injury patients.","authors":"Qingyu Wang, Wenyao Zhong, Xingmiao Feng","doi":"10.1016/j.slast.2025.100339","DOIUrl":"https://doi.org/10.1016/j.slast.2025.100339","url":null,"abstract":"<p><strong>Background: </strong>In recent years, nanosilver gel has gained attention due to its excellent antimicrobial properties and wound healing effects. Meanwhile, the comprehensive care model has improved the rehabilitation environment for patients with its holistic and individualized care approach. This study aimed to investigate the promoting effects of nanosilver gel on wound healing in hand injury patients and the intervention effects of the comprehensive care model.</p><p><strong>Methods: </strong>This study adopted a randomized controlled trial (RCT) design. A total of 120 hand injury patients admitted to the Hand Surgery Department of Beijing Jishuitan Hospital between January 2020 and January 2023 were enrolled and randomly allocated into three groups (n=40 each). The control group (C group) received standard care, experimental group A (Exp A) underwent a comprehensive nursing intervention, and experimental group B (Exp B) received additional nanosilver gel dressing treatment based on the comprehensive nursing protocol. Primary outcome measures included wound healing time, pain intensity (visual analogue scale (VAS) score), functional recovery (grip strength, hand dexterity, and range of motion), and wound healing rate.</p><p><strong>Results: </strong>Exp group B had notably better outcomes in terms of wound healing time, pain intensity, functional recovery, and wound healing rate versus C group and Exp group A.</p><p><strong>Conclusion: </strong>This study demonstrates that the combination of nanosilver gel and the comprehensive care model significantly improves wound healing outcomes in hand injury patients, providing a new and effective possibility for the treatment of hand injuries.</p>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":" ","pages":"100339"},"PeriodicalIF":3.7,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144776908","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}