Progress in biomedical engineering (Bristol, England)最新文献

{"title":"The Future of Bariatric Surgery: could surgical practice take advantage of in silico computational tools and Artificial Intelligence?","authors":"Alice Berardo, Ilaria Toniolo","doi":"10.1088/2516-1091/ae11e3","DOIUrl":"https://doi.org/10.1088/2516-1091/ae11e3","url":null,"abstract":"<p><p>In 2023, the 8th IFSO analysis reported 480,970 metabolic bariatric procedures worldwide, as action against obesity, a pandemic affecting more than a billion people. Despite the well-documented risks associated with obesity and the potential health benefits after bariatric surgery (BS), many eligible patients avoid it, raising concerns about whether this is due to a lack of awareness or limitations in existing techniques. Indeed, this discrepancy prompts inquiries into how this trend can be reversed. Is this a lack of proper information to the eligible patients or is it a conscious choice linked to the limitations of existing technology? This aspect highlights the urgent need for more patient-focused, advanced methodologies that enhance both surgical outcomes and accessibility. &#xD;Bioengineering offers an innovative approach by personalizing BS, encouraging patients to pursue a tailored care pathway. In the era of digital twins, artificial intelligence and virtual surgical planning, bioengineers could support both surgeons and patients predicting individual success rates, with greater control over surgical outcomes. Some examples are reported in the scientific literature, offering additional information, such as the optimal reduction of stomach volume by varying the tube size in laparoscopic sleeve gastrectomy or adjusting the suture pattern in endoscopic sleeve gastroplasty. Computational models can also predict the mechanical stress and strain on the gastric wall, which is crucial for targeting the brain regions associated with satiety and thus facilitating the weight loss process. Moreover, emerging personalized virtual models are demonstrating significant potential to revolutionize BS, leading to more realistic and precise surgical planning. &#xD;Therefore, how could these virtual approaches impact the evolution of BS? Which could be the next improvements provided by the computational bioengineering in this field?&#xD;This perspective underscores the importance of adopting and advancing computational bioengineering to address current limitations and enhance the global impact of BS. &#xD.</p>","PeriodicalId":74582,"journal":{"name":"Progress in biomedical engineering (Bristol, England)","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145276940","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":"Exploration of biomechanics, mental workload and metabolism factors during prosthetic gait.","authors":"Andrea Berettoni, Samuele De Giuseppe, Giulia Mariani, Nicolò Boccardo, Matteo Laffranchi, Marianna Semprini","doi":"10.1088/2516-1091/ae0f11","DOIUrl":"10.1088/2516-1091/ae0f11","url":null,"abstract":"<p><p>Progress in prosthetics development have greatly improved everyday life of people with lower limb amputations. However, efficiently operating a prosthetic device requires a complex learning process, as users need to familiarize with the biomechanics of prosthetic-assisted gait. Both mental and physical workloads play a role in this process, with significant implications for prosthetic use and acceptance. Here we explore the intricate relationships between these elements in lower limb prosthetic users. First, we describe all compensatory movements that may be performed during prosthetic-assisted gait. We then examine the two loads: mental workload and physical load, which are both reflected in the metabolic cost required for prosthetic use. From this analysis, we envision that prosthetic gait could be regulated by different factors, namely, biomechanics, mental workload and metabolism. The main goal of this perspective&#xD;is to foster discussion across these three domains, defining all types of \"loads\" imposed on the patient using objective and cross related descriptors. We argue that such descriptors should be analyzed through specific approaches and protocols in order to be quantified in absolute manner. Being able to univocally describe the single inference of these macro areas to bionic limbs use, could lead to new paradigms in the patient's rehabilitation process and in the design of future robotic prostheses.</p>","PeriodicalId":74582,"journal":{"name":"Progress in biomedical engineering (Bristol, England)","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145226321","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":"Physiology and enabling technologies for quantitative assessment of survivability during cold water immersion and rewarming: a review.","authors":"Sina Masoumi Shahrbabak, Zeineb Bouzid, Omer T Inan, Jin-Oh Hahn","doi":"10.1088/2516-1091/ae0c4b","DOIUrl":"https://doi.org/10.1088/2516-1091/ae0c4b","url":null,"abstract":"<p><p>Immersion in cold water alters physiological (including cardiovascular) state via complex interplay between external stressors (namely, hydrostatic pressure of ambient water and heat loss due to cold) and compensatory mechanisms in the body (namely, humoral and autonomic nervous system control). Prolonged immersion in cold water leads to life-threatening physiological states including death. In addition, rewarming can benefit or harm a casualty depending on the casualty's physiological state and compensatory reserve. However, technology for assessing the survivability of a casualty impacted by cold water immersion does not exist. Toward the overarching goal of fostering the development of next-generation triage and treatment guidance technology for resuscitation after cold water immersion, the goal of this paper is to help establish a comprehensive understanding of cardiovascular responses to cold water immersion and rewarming as well as relevant physiological measurement technologies which may enable status assessment in future implementations. We review literature on the influence of water immersion, exposure to cold, and rewarming on cardiovascular physiology. We summarize the existing findings into a comprehensive mechanistic understanding of typical cardiovascular responses to cold water immersion and rewarming through time. Then, we review literature on the physiological measurement and physiological signal analytics technologies applicable to cold water immersion settings. We conclude the paper with a perspective on outstanding challenges and opportunities pertaining to physiological sensing and analytics to enable autonomous assessment and treatment guidance for resuscitation after cold water immersion.&#xD.</p>","PeriodicalId":74582,"journal":{"name":"Progress in biomedical engineering (Bristol, England)","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145180829","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":"Machine and Deep Learning applied to Medical Microwave Imaging: a Scoping Review from Reconstruction to Classification.","authors":"Tiago M M Silva, Raquel C Conceičão, Daniela M Godinho","doi":"10.1088/2516-1091/ae0bd3","DOIUrl":"10.1088/2516-1091/ae0bd3","url":null,"abstract":"<p><p>Microwave Imaging (MWI) is a promising modality due to its noninvasive nature and lower cost compared to other medical imaging techniques. These characteristics make it a potential alternative to traditional imaging techniques. It has various medical applications, particularly exploited in breast and brain imaging. Machine Learning (ML) has also been increasingly used for medical applications. This paper provides a scoping review of the role of ML in MWI, focusing on two key areas: image reconstruction and classification. The reconstruction section discusses various ML algorithms used to enhance image quality and computational efficiency, highlighting methods such as Convolutional Neural Networks (CNNs) and Support Vector Machines (SVMs). The classification section delves into the application of ML for distinguishing between different tissue types, including applications in breast cancer detection and neurological disorder classification. By analyzing the latest studies and methodologies, this review aims review to the current state of ML-enhanced MWI and sheds light on its potential for clinical applications.</p>","PeriodicalId":74582,"journal":{"name":"Progress in biomedical engineering (Bristol, England)","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145152317","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":"The role of 3D printing and finite element-based computational simulations in transcatheter pulmonary valve replacement.","authors":"Camilo E Pérez-Cualtán, Camila Castro-Páez, Carlos Eduardo Guerrero-Chalela, Paul A Iaizzo, Javier Navarro-Rueda, Juan Carlos Briceño","doi":"10.1088/2516-1091/adfbcb","DOIUrl":"10.1088/2516-1091/adfbcb","url":null,"abstract":"<p><p><i>Background.</i>Transcatheter pulmonary valve replacement (TPVR) has emerged as a less invasive alternative to surgical pulmonary valve replacement for patients with right ventricular outflow tract dysfunction, such is especially important for those individuals whom had previous cardiac surgical procedures. Recently, three-dimensional (3D) printing and finite element (FE) computational simulation technologies have been employed to enhance preoperative planning processes; however, their effectiveness and clinical significance remain to be fully validated. This systematic review aims to describe the applications and potential impacts of 3D printing and FE simulation technologies for TPVR in clinical practice.<i>Methods.</i>A systematic search of PubMed, Science Direct, Web of Science, and Google Scholar was conducted to identify studies using patient-specific 3D-printed models and FE simulations for preoperative planning and device performance testing.<i>Results.</i>From 289 identified articles, 28 met the inclusion criteria for this review. The quality assessment of the articles showed that the article selection process was adequate. The eligible studies demonstrated that both 3D printing and FE-based simulations have been primarily used to select the appropriate pulmonary valve size as well as predict the optimal placement; i.e. to avoid potential complications such as paravalvular leakage or pulmonary regurgitation. These technologies are generally used in complex congenital and adult-congenital cases. Additionally, these studies provide valuable insights into the mechanical performances of the transcatheter valves using patient-specific anatomies.<i>Conclusion.</i>3D-printed models and FE simulations have both demonstrated utilities in TPVR planning; by accurately reproducing a given patient's anatomy and allowing evaluations of potential device-tissue interactions. These tools thus allow for personalized treatments and also contribute to device innovations and development. Yet, further research in this field is required due to the noted limitations of current studies, including small sample sizes, insufficient standardization, and/or challenges in replicating the biomechanics of cardiac tissue.</p>","PeriodicalId":74582,"journal":{"name":"Progress in biomedical engineering (Bristol, England)","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144857124","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":"Neuroengineering approaches assessing structural and functional changes of motor descending pathways in stroke.","authors":"Jordan N Williamson, Rita Huan-Ting Peng, Joohwan Sung, Mahmood Rajabtabar Darvish, Xiaoxi Chen, Mehreen Ali, Sheng Li, Yuan Yang","doi":"10.1088/2516-1091/adfeaa","DOIUrl":"10.1088/2516-1091/adfeaa","url":null,"abstract":"<p><p>Stroke is a leading cause of adult disability worldwide, with approximately 101 million survivors globally. Over 60% of these individuals live with from long-term, often lifelong, movement impairments that significantly hinder their ability to perform essential daily activities and maintain independence. Post-stroke movement disabilities are highly associated with structural and functional changes in motor descending pathways, particularly the corticospinal tract and other indirect motor pathways via the brainstem. For decades, neuroengineers have been working to quantitively evaluate the post-stroke changes of motor descending pathways, aiming to establish a precision prognosis and tailoring treatments to post-stroke motor impairment. However, a clear and practicable technique has not yet been established as a breakthrough to change the standard of care for current clinical practice. In this review, we outline recent progress in neuroimaging, neuromodulation, and electrophysiological approaches for assessing structural and functional changes of motor descending pathways in stroke. We also discuss their limitations and challenges, arguing the need of artificial intelligence and large multi-modal data registry for a groundbreaking advance to this important topic.</p>","PeriodicalId":74582,"journal":{"name":"Progress in biomedical engineering (Bristol, England)","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443499/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancements in deep learning for image-guided tumor ablation therapies: a comprehensive review.","authors":"Ziqi Zhao, Yibo Hu, Lisa X Xu, Jianqi Sun","doi":"10.1088/2516-1091/adfeab","DOIUrl":"10.1088/2516-1091/adfeab","url":null,"abstract":"<p><p>Image-guided tumor ablation (IGTA) has revolutionized modern oncological treatments by providing minimally invasive options that ensure precise tumor eradication with minimal patient discomfort. Traditional techniques such as ultrasound (US), computed tomography, and magnetic resonance imaging have been instrumental in the planning, execution, and evaluation of ablation therapies. However, these methods often face limitations, including poor contrast, susceptibility to artifacts, and variability in operator expertise, which can undermine the accuracy of tumor targeting and therapeutic outcomes. Incorporating deep learning (DL) into IGTA represents a significant advancement that addresses these challenges. This review explores the role and potential of DL in different phases of tumor ablation therapy: preoperative, intraoperative, and postoperative. In the preoperative stage, DL excels in advanced image segmentation, enhancement, and synthesis, facilitating precise surgical planning and optimized treatment strategies. During the intraoperative phase, DL supports image registration and fusion, and real-time surgical planning, enhancing navigation accuracy and ensuring precise ablation while safeguarding surrounding healthy tissues. In the postoperative phase, DL is pivotal in automating the monitoring of treatment responses and in the early detection of recurrences through detailed analyses of follow-up imaging. This review highlights the essential role of DL in modernizing IGTA, showcasing its significant implications for procedural safety, efficacy, and patient outcomes in oncology. As DL technologies continue to evolve, they are poised to redefine the standards of care in tumor ablation therapies, making treatments more accurate, personalized, and patient-friendly.</p>","PeriodicalId":74582,"journal":{"name":"Progress in biomedical engineering (Bristol, England)","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981946","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":"Design clues for motility and rheotaxis-based microfluidic chips for sperm sorting.","authors":"Olga Smirnova, Daniil Golubchikov, Anton Murashko, Nastasia Kosheleva, Maryam Saadatmand, Peter Timashev, Anastasia Shpichka","doi":"10.1088/2516-1091/adf92f","DOIUrl":"10.1088/2516-1091/adf92f","url":null,"abstract":"<p><p>Microfluidic-based sperm selection is an essential tool recently introduced into assisted reproductive technologies. Conventional approaches such as swim-up and density-gradient centrifugation (DGC) are widely used, however, they lack selectivity and limit the necessary sperm amount in the sample. Moreover, the DGC method has been reported to damage the sperm's DNA, whilst the emerging microfluidic devices offer a soft and flexible way to selectively sort various volumes of raw sperm samples. The flexibility of the discussed technology is associated with the channel architectures based on different sorting mechanisms. In particular, motility-based sorting devices are generally applied for rapid sperm selection without cell damaging by reactive oxygen species. Non-motile sperm samples can be separated from non-sperm cells by inertial microfluidics. The most promising approach to sperm selection has been presented by rheotaxis-based chips, shown to closely mimic the female reproductive tract. In this review, we discuss the key aspects of the chip design according to the underlying mechanisms. The microfluidic chips' fabrication issues and challenges have also been highlighted.</p>","PeriodicalId":74582,"journal":{"name":"Progress in biomedical engineering (Bristol, England)","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144801181","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":"Advances in sutureless nerve repair: when special bioadhesives and electrical stimulation can be used in tandem.","authors":"Peyman Esmaeili Fard Barzegar, Arbues Santa Cruz Minano, Abbas Raisi, James M Hook, Antonio Lauto","doi":"10.1088/2516-1091/adf6f5","DOIUrl":"10.1088/2516-1091/adf6f5","url":null,"abstract":"<p><p>Peripheral nerve injury (PNI) presents a major neurological challenge, with symptoms varying depending on the extent of axonal damage. Although we have some understanding of pathophysiology and regeneration mechanisms of PNI, achieving complete and accurate functional restoration remains elusive. Current regenerative treatments are often slow, and full recovery is still largely aspirational despite various therapeutic approaches. This review evaluates the advantages and limitations of new bioadhesives and electrical stimulation (ES) therapies, whether used alone or in combination, for promoting healing of PNI. Despite significant progress in nerve repair and regeneration<i>in vitro</i>, clinical validation of these methods is limited, and further research is needed. The strong preclinical evidence supporting the effectiveness of ES and bioadhesives in treating PNI now calls for advancement beyond experimental models to clinical testing.</p>","PeriodicalId":74582,"journal":{"name":"Progress in biomedical engineering (Bristol, England)","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144769434","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":"Enhancing peripheral nerve regeneration with rehabilitation and biomaterial-driven drug delivery strategies.","authors":"Yunfan Kong, Tianshu Pan, Mitchell Kuss, Kai Yang, Johnson V John, Bin Duan","doi":"10.1088/2516-1091/adf7ee","DOIUrl":"10.1088/2516-1091/adf7ee","url":null,"abstract":"<p><p>Peripheral nerve injury (PNI) is a common problem worldwide. PNI can lead to loss of sensory and motor functions, chronic neuropathic pain, and mental health issues, significantly impacting the patients' quality of life. Recent studies revealed that, beyond the topical injury site at peripheral nerves, PNIs can also induce dysfunctions in the central nervous system by causing maladaptive plasticity, which will result in exaggeration and exacerbation of the pathological condition caused by the primary injuries. The typical therapy strategies for traumatic PNI treatment are using sutures, nerve autografts, or conduits in cases requiring surgical intervention as well as applying physical-based rehabilitation to facilitate functional recovery. However, the functional restoration is generally unsatisfactory due to insufficient regeneration and long-lasting maladaptive neuroplasticity in the nervous system. In this review, we summarized various neurotrophic factors and neuroprotective agents that have been extensively studied as adjuvant therapies to enhance recovery efficiency after PNIs in the last two decades. Particularly, with the rapid development of biomaterials and bioengineering, controllable drug delivery techniques have shown great potential to maintain the drug bioactivity and, consequently, prolonging the therapeutic effects. Additionally, we explored the virus-based gene delivery technique, which has been used to transduce neural cells for enhancing nerve regeneration. Finally, we discussed current challenges, including inadequate motor function restoration, poorly defined rehabilitation protocols, unresolved chronic inflammation, and limited understanding of macrophage dynamics. We also offered perspectives on integrating various approaches to develop effective and comprehensive treatment strategies for PNIs.</p>","PeriodicalId":74582,"journal":{"name":"Progress in biomedical engineering (Bristol, England)","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144790996","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}