Medicine in Novel Technology and Devices最新文献

{"title":"MDFSBP: A multi-perspective differential feature space framework for estimating blood pressure using photoplethysmography (PPG)","authors":"Haonan Zhang,&nbsp;Chenbin Ma,&nbsp;Guanglei Zhang","doi":"10.1016/j.medntd.2025.100407","DOIUrl":"10.1016/j.medntd.2025.100407","url":null,"abstract":"<div><div>Continuous and accurate blood pressure (BP) monitoring is critical for personalized hypertension management. However, most existing methods focus on absolute BP estimation, with limited attention to BP changes. To address this limitation, we propose a novel framework named Multi-Perspective Differential Feature Space (MDFSBP) for cuffless BP estimation using photoplethysmography (PPG) signals. MDFSBP extracts three perspective differential features: time-based and points-of-interest features, frequency-domain features, and physiological statistical features. Then, an adaptive Multi-Perspective Differential Feature Mapping Module (MDFMM) integrates reconstruction regularization, trend-aware classification, and self-weighted contrastive learning to enhance feature representation and strengthen the association between features and BP changes. Finally, an AutoML-based regression pipeline automates model optimization, improving predictive accuracy and deployment efficiency. To better test the model's capability in capturing BP changes, we introduce a novel abnormality-aware classification metric. We demonstrate BP estimation performance over state-of-the-art (SOTA) methods on both the Mindray and MIMIC datasets. On the Mindray dataset, the model achieves a regression error of 0.17 ​± ​5.17 ​mmHg for SBP and 0.05 ​± ​3.29 ​mmHg for DBP, with classification accuracy and F1-score reaching 85.25 ​% and 87.50 ​%, respectively. On the MIMIC dataset, it achieves −0.09 ​± ​5.70 ​mmHg for SBP and 0.12 ​± ​4.27 ​mmHg for DBP, with the classification accuracy and F1-score of 72.84 ​% and 70.66 ​%, respectively. These results highlight the effectiveness, robustness, and generalizability of the proposed framework for non-invasive, real-time, and continuous BP monitoring in both clinical and wearable healthcare systems.</div><div>© 2001 Elsevier Science. All rights reserved</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"28 ","pages":"Article 100407"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145158273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cover","authors":"","doi":"10.1016/S2590-0935(25)00071-2","DOIUrl":"10.1016/S2590-0935(25)00071-2","url":null,"abstract":"","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"28 ","pages":"Article 100420"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145680791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Xenogeneic decellularized materials for integrated osteochondral repair","authors":"Man Wang ,&nbsp;Yanming Ma ,&nbsp;Rongwei Tan ,&nbsp;Zhending She ,&nbsp;Xiaoming Li","doi":"10.1016/j.medntd.2025.100398","DOIUrl":"10.1016/j.medntd.2025.100398","url":null,"abstract":"<div><div>Repairing osteochondral defects remains a clinical hurdle, primarily attributed to the unique hierarchical anatomical structure of osteochondral tissue and the complex structural-functional heterogeneities of the bone-cartilage interface. Conventional strategies for osteochondral defect repair, however, suffer from inherent limitations. By retaining the native extracellular matrix (ECM), decellularized constructs can recapitulate the 3D porous architecture and compositional-mechanical gradient of osteochondral tissue. Integrated xenogeneic osteochondral decellularized scaffolds have thus emerged as a research hotspot in defect repair, owing to their superior structural biomimicry and retention of native tissue bioactivity. This review first systematically outlines current osteochondral decellularization technologies and key <em>in vitro</em> evaluation indices. Furthermore, it summarizes the <em>in vivo</em> repair efficacy of such scaffolds in preclinical animal models. Ultimately, it highlights key challenges in current research, including residual immunogenicity and mismatched degradation rates of materials, and discusses the potential applications of gene editing and dynamic mechanical stimulation. This review aims to provide insights into the technological optimization and clinical translation of integrated xenogeneic osteochondral decellularized scaffolds, thereby facilitating the clinical implementation of osteochondral defect repair strategies.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"28 ","pages":"Article 100398"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diverse motor unit alterations underlying muscle weakness: a case study with chronic stroke patients","authors":"Xiaoyan Li ,&nbsp;Maoqi Chen ,&nbsp;Zhiyuan Lu ,&nbsp;Ping Zhou","doi":"10.1016/j.medntd.2025.100410","DOIUrl":"10.1016/j.medntd.2025.100410","url":null,"abstract":"<div><div>This study assessed both motor unit population and firing behavior alterations of the first dorsal interosseous (FDI) muscle in six individuals with stroke, toward better understanding muscle weakness after stroke. Motor unit population was estimated using the F wave based motor unit number estimation (MUNE) technique, while motor unit firing behavior was extracted through high-density surface electromyography (EMG) decomposition. Inspection of individual subject data disclosed different patterns of motor unit changes associated with post-stroke weakness. Four subjects concurrently demonstrated loss of functioning motor units and reduced motor unit firing rates in the paretic muscle compared with the contralateral muscle. For the remaining two subjects, one showed remarkable decrease of motor unit number but similar firing rates in the paretic muscle, while on the contrary the other subject demonstrated remarkable decrease in motor unit firing rates but similar motor unit number counts in the paretic muscle, compared with the contralateral muscle. Findings from this study add insights in understanding complexity of post-stroke muscle weakness and help development of appropriate interventions in stroke rehabilitation targeting specific motor unit impairment.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"28 ","pages":"Article 100410"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sophisticated bio-sensing architecture for anxiety identification using enhanced machine learning techniques","authors":"Shivendra Dubey ,&nbsp;Sakshi Dubey ,&nbsp;Sachin Malviya ,&nbsp;Nandkishor Joshi ,&nbsp;Pranshu Pranjal","doi":"10.1016/j.medntd.2025.100405","DOIUrl":"10.1016/j.medntd.2025.100405","url":null,"abstract":"<div><div>In recent years, medical wearable technologies are growing more and more popular as mental awareness and psychological peace have grown in importance. With the help of this modern technology, continuous surveillance is made possible, giving healthcare workers vital physiologic information that can improve the treatment of patients. The noise's susceptibility and rigidity interference vulnerability impact on present anxiety-detection techniques, like the electrocardiogram (ECG), blood volume pulse (BVP), and movement analysis of the body are the main techniques. We present an ANXIETY-CARE, a flexible anxiety detection system that uses a hybrid methodology to get around these constraints. This smart mechanism makes use of machine learning techniques, state-of-the-art context detection techniques, and a sweat sensor device. The ANXIETY-CARE uses the XG Boost classification algorithm to process sensor model as well as data variations in the natural world. We hope to transform anxiety detection by fusing those cutting-edge methods, providing an additional flexible and reliable option for general wellbeing and better anxiety management. By utilizing Electrodermal Response (EDR) sweat sensors, we present a cutting-edge anxiety detection tool in the suggested approach that outperforms conventional Electrocardiogram (ECG) techniques without requiring implants. This study clarifies noisy contextual interpretation for diverse wearing equipment, providing essential guidelines for improving anxiety identification over multiple applications and contexts. We are incorporating machine learning techniques, specifically XG-Boost techniques for improvement of diagnosis reliability and accuracy. In this study, we also forecast anxiety employing handheld data from sensors, and also investigated the use of CNN-LSTM, CNN, and LSTM models. These models deal directly with data that occurs over time, in contrast to earlier approaches that depended on stable properties. We identified LSTM approach demonstrated potential for subsequent studies with big datasets, in this study we have used StudentLife dataset and achieving 84.3 ​% accuracy.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"28 ","pages":"Article 100405"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145325260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of silk fibroin incorporation on the mechanical properties and osteogenic activity of bone repair materials","authors":"Yingran Liu ,&nbsp;Yanming Ma ,&nbsp;Chao Xue ,&nbsp;Xiaoming Li","doi":"10.1016/j.medntd.2025.100399","DOIUrl":"10.1016/j.medntd.2025.100399","url":null,"abstract":"<div><div>As a natural biopolymer, silk fibroin (SF) exhibits irreplaceable value in the field of bone repair materials applications due to its excellent biocompatibility, controllable degradability, and unique structure regulation ability. The incorporation of SF can regulate various properties of bone repair materials. This paper mainly systematically reviews the effects of SF incorporation on the mechanical properties and osteogenic activity of various bone repair materials. In terms of mechanical properties, SF highly enhances the compressive strength, toughness, and structural stability of materials through the formation of β-sheet crystal structures and intermolecular interactions, effectively addressing the application limitations of traditional bone repair materials in bone tissue engineering. Meanwhile, in terms of osteogenic activity, SF can promote the adhesion, proliferation, and differentiation of mesenchymal stem cells, upregulate the expression of key markers such as alkaline phosphatase and osteocalcin by participating in signaling pathways. Especially when combined with ceramics or metal implants, it demonstrates excellent osteogenic ability. This paper will provide a theoretical framework for the creation of composite bone repair materials with precise mechanical matching and efficient osteogenic induction functions, and it has important guiding significance for promoting the clinical translation of bone tissue engineering materials.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"28 ","pages":"Article 100399"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling non-convex fractional order differential equation using dual supervision neural network for medical image quality enhancement","authors":"A. Regina Mary ,&nbsp;S. Mehar Banu","doi":"10.1016/j.medntd.2025.100401","DOIUrl":"10.1016/j.medntd.2025.100401","url":null,"abstract":"<div><div>Medical imaging is essential for modern cancer screening and diagnosis, but image quality is usually compromised in an attempt to lower patient risk. Traditional computer-aided diagnosis (CAD) systems that employ anomaly detection techniques have increased diagnostic accuracy by assisting radiologists in interpreting medical images. However, existing problems like inconsistent pixel values, computational inefficiencies, and limited generalizability hinder the successful application of AI-based models in real-time clinical settings. Due to distinct pixel intensity variation, medical images necessitate specific transformation; however, model development is complicated by the lack of standard parameter guidelines. Current models' high memory and processing requirements restrict their applicability in settings with limited resources, especially in rural areas. The need for a solution that ensures both diagnostic accuracy and computational efficiency is further highlighted by the fact that noise and artifacts in low-resolution images make it more difficult to diagnose diseases accurately. This study presents a method to improving the quality of medical images by using a non-convex fractional differential equation (NC-FODE). Pixel strength is efficiently calculated by NC-FODE to increase intensity and improve diagnostic relevance. To ensure precise and adaptable parameter setting for different image modalities, a dual supervised neural network (DSNN) is utilized to approximate partial derivatives and set upper bounds for model parameters. Using publicly available radiography datasets, it has been demonstrated that the proposed method greatly enhances image quality across a range of imaging modalities without requiring extensive pre-processing. Real-time processing appropriate for hectic clinical settings is made possible by experimental results showing improved pixel density, decreased noise, and superior computational efficiency. It can be customized for variety of clinical applications since it ensures consistency and reproducibility across different imaging datasets.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"28 ","pages":"Article 100401"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Near-infrared light-responsive photothermal-chemical synergistic antimicrobial GO-BPEI/La nanofiber membrane in the repair of skin wound inflammation","authors":"Liu Wang ,&nbsp;Lu-Yao Zhao ,&nbsp;Wen-Jie Tang ,&nbsp;Zhi-Yuan Wang ,&nbsp;Mei-Wen An ,&nbsp;Yang Liu ,&nbsp;Mei-Ling Wen ,&nbsp;Yan Wei","doi":"10.1016/j.medntd.2025.100397","DOIUrl":"10.1016/j.medntd.2025.100397","url":null,"abstract":"<div><div>Electrospun fibers are widely used in biomedical applications for tissue and organ repair due to their unique structure, which resembles the extracellular matrix (ECM). A key challenge in designing ideal wound dressings lies in simultaneously enhancing antibacterial efficacy and biocompatibility. In this study, to address chronic inflammation associated with microbial resistance, branched polyethyleneimine (BPEI)-modified graphene oxide (GO) (GO-BPEI) and LaCl₃ were incorporated into a solution composed of polyvinyl alcohol (PVA) and chitosan (CS). Through electrospinning, a PVA/CS/GO-BPEI/La nanofibrous membrane with photothermal/chemical synergistic antibacterial properties was fabricated. The resulting membranes exhibited favorable mechanical properties, breathability, and moisture absorption. The photothermal antibacterial effect of GO-BPEI, combined with the chemical antibacterial activity of LaCl₃, endowed the electrospun membranes with remarkable inhibition rates against <em>Staphylococcus aureus</em> (97 ​%) and <em>Escherichia coli</em> (99 ​%). Moreover, the membranes showed negligible cytotoxicity toward human skin fibroblasts (HSFs) and only a minor impact on cell migration. Therefore, this electrospun membrane demonstrates great potential as a skin wound dressing for infection suppression and tissue regeneration.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"28 ","pages":"Article 100397"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Translational potential of natural bioactive-based formulations in atopic dermatitis: Current insights","authors":"Pratibha Kaushal ,&nbsp;Rajendra Awasthi","doi":"10.1016/j.medntd.2025.100404","DOIUrl":"10.1016/j.medntd.2025.100404","url":null,"abstract":"<div><div>The skin, as the body's largest organ, provides a crucial barrier against environmental hazards, including allergens, chemicals, toxins, and pathogens. A range of skin disorders, such as cancer, dermatitis, psoriasis, wounds, aging, acne, and infections, can compromise this vital function and significantly affect overall health. Natural products have emerged as a promising avenue for therapeutic intervention in these conditions. This review focuses specifically on the application of nanoformulations incorporating natural bioactives for the treatment of atopic dermatitis (AD), summarizing key <em>in vitro</em> and <em>in vivo</em> studies. Many of these natural products exhibit anti-inflammatory, antioxidant, and antimicrobial properties, often demonstrating the ability to reduce inflammatory markers like TNF-α, scavenge reactive oxygen species, induce apoptosis in cancer cells, and prevent infections. Furthermore, the review explores the potential and challenges associated with transdermal and topical delivery of these natural products. While preclinical studies offer encouraging results, further clinical trials are essential to validate their efficacy. The future of skin disease treatment may lie in combining natural products with conventional drugs and developing innovative delivery strategies. This review provides an overview of the latest advancements in natural bioactive-based formulations in AD treatment.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"28 ","pages":"Article 100404"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interface-driven human brain injury mechanisms in blast exposure: A fluid–structure interaction model","authors":"Joseph Amponsah ,&nbsp;Archibong Archibong-Eso ,&nbsp;Y.A.K. Fiagbe ,&nbsp;Richard Bruce ,&nbsp;Tabbi Wilberforce Awotwe ,&nbsp;Samuel Adjei","doi":"10.1016/j.medntd.2025.100381","DOIUrl":"10.1016/j.medntd.2025.100381","url":null,"abstract":"<div><div>Blast-induced traumatic brain injury (bTBI) presents a significant challenge for military personnel and civilians exposed to explosions. Beyond combat, bTBI can arise from civilian incidents like industrial accidents (chemical-plant or mining blasts), accidental demolition blasts, fireworks factory explosions, and residential gas-leak detonations. The precise mechanisms by which blast waves damage the brain are still developing. Studies suggest that bTBI is primarily an interface-driven injury, where mechanical forces concentrate at anatomical boundaries including gray–white matter junctions, cortical sulci, cerebrospinal fluid (CSF) spaces, and perivascular structures. Recent research has shown that fluid structure interaction (FSI) simulations are instrumental in capturing shock wave transmission through the skull, CSF, and brain tissue, directly informing the design of protective gear. Here, we developed a high-resolution FSI model of the human head with approximately five million elements and detailed anatomical features (sulci, gyri, CSF compartments, vascular structures) to examine these biomechanical interactions. We employed Friedlander waveform to simulate the blast wave, with adjustments for attenuation through the skull and pressure transmission into the CSF and brain, with peak overpressures ranging from 100 to 1000 kPa and durations up to 6 ms. Our findings indicate that local CSF pressures dropping below its vapor pressure (around –90 kPa) can initiate cavitation, particularly within sulcal and ventricular spaces. This cavitation is accompanied by elevated shear stresses at adjacent gray–white matter interfaces, with strain rates exceeding 250 s⁻¹, co-localizing with diffuse axonal injury (DAI) thresholds. Higher overpressures (500 kPa) also induced intraventricular cavitation and elevated periventricular strain rates. Blast orientation significantly influenced injury distribution, lateral blasts resulted in more diffuse stress fields, while frontal blasts localized damage to anterior cortical regions.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"27 ","pages":"Article 100381"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}