{"title":"Nanomaterials for controlled drug delivery in wound healing: Recent advances and future directions","authors":"Nasim Mohammadi , Mahesh Narayan","doi":"10.1016/j.cobme.2025.100637","DOIUrl":"10.1016/j.cobme.2025.100637","url":null,"abstract":"<div><div>Chronic wounds exert a rising global health burden. The lack of effective intervention is an outcome created by four core pathophysiological barriers, viz., biofilm persistence, oxidative stress, impaired angiogenesis, and dysregulated inflammation/extracellular matrix (ECM) remodeling. To overcome the interventional hurdles, nanomaterial-based delivery systems including electrospun nanofibers, hydrogels, and nanoparticles offer intelligent, multi-targeted solutions through controlled release and intrinsic bioactivity. This review is structured around recent advances (2020–2025) around these barriers and critically evaluates how each platform counters specific deficits. Briefly, nanofibers mimic ECM to restore remodeling, hydrogels scavenge ROS and enable on-demand release, nanoparticles penetrate biofilms while upregulating VEGF and hybrid systems achieve synergistic outcomes (e.g., 55 % faster diabetic wound closure). Furthermore, translational challenges involving toxicity, scalability, and regulation are discussed along with strategies for clinical acceleration. We conclude with a roadmap for AI-guided, closed-loop, dressings that potentially (and dynamically) address the lowering of all four barriers, and pave the way for precision wound care.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"37 ","pages":"Article 100637"},"PeriodicalIF":4.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Keefer Boone , Yuepeng Ke , Hongje Jang , Lingyan Shi , Yubin Zhou , Cynthia A. Reinhart-King
{"title":"Recent advances in optical tools for measurement and manipulation of oncogenic cellular metabolism","authors":"Keefer Boone , Yuepeng Ke , Hongje Jang , Lingyan Shi , Yubin Zhou , Cynthia A. Reinhart-King","doi":"10.1016/j.cobme.2025.100647","DOIUrl":"10.1016/j.cobme.2025.100647","url":null,"abstract":"<div><div>Cancer is increasingly understood as a metabolic disease. Oncogenic signaling reshapes core metabolic pathways, enabling cells to survive during tumor progression, invasion, and immune evasion. Gradients in oxygen, nutrients, and mechanical stress create diverse niches that drive metabolic heterogeneity. These variations are often masked by traditional bulk measurements that average across cell populations. This review highlights the growing arsenal of genetically encoded and exogenous fluorescent probes that enable real-time, single-cell monitoring of metabolism. In parallel, we explore optogenetic actuators that allow for precise manipulation of metabolism using light. Finally, we discuss advanced optical imaging techniques that provide label-free, high-resolution insights into single-cell metabolic activity across complex tissue environments. Together, these biosensors and actuators offer powerful means to examine how metabolism varies across individual cells and how it contributes to tumor behavior. These technologies hold promise for improving metabolic understanding and may ultimately guide new diagnostic and therapeutic approaches.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"37 ","pages":"Article 100647"},"PeriodicalIF":4.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tianna A. Edwards , Haylee L. Wagner , Shelly R. Peyton
{"title":"Engineering cancer's journey: Emerging tools for metastasis modeling","authors":"Tianna A. Edwards , Haylee L. Wagner , Shelly R. Peyton","doi":"10.1016/j.cobme.2025.100631","DOIUrl":"10.1016/j.cobme.2025.100631","url":null,"abstract":"<div><div>The overwhelming majority of cancer-associated deaths occur due to metastasis—the spread of cells from the primary tumor to distant organs—where disseminated cells eventually colonize and destroy organ function. For metastasis to occur, a cell must acquire diverse traits, including the ability to migrate away from the primary tumor, cross an endothelial barrier, survive in circulation, re-emerge across a new endothelial barrier at a distant tissue site, and ultimately resume proliferation to colonize a foreign tissue environment. Bioengineers have recognized that tools originally developed for tissue engineering are useful for experimentally modeling cancer and metastasis. Cancer bioengineering is an emerging subfield of biomedical engineering that unifies engineering and cancer biology to better understand, diagnose, and treat cancer. The National Cancer Institute has made a bold call emphasizing the need for these bioengineered <em>in vitro</em> models of cancer to supplement animal models. Hypothesis testing, large discovery-based screens, and mechanistic studies of metastasis in <em>in vitro</em> models may help guide ensuing, targeted animal studies. In this brief, forward-looking review, we discuss whether and how <em>in vitro</em> models can be used to study the full metastatic cascade, from invasion to outgrowth, and what must continue to be developed so that the models faithfully recapitulate the full disease progression and are approachable for scientists worldwide.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"37 ","pages":"Article 100631"},"PeriodicalIF":4.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145640768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Aging and the extracellular matrix: A tumor-permissive microenvironment driving cancer progression","authors":"Lauren Hawthorne , Jun Yang , Pinar Zorlutuna","doi":"10.1016/j.cobme.2025.100618","DOIUrl":"10.1016/j.cobme.2025.100618","url":null,"abstract":"<div><div>Aging is a significant cancer risk factor, yet its impact on the extracellular matrix (ECM) in tumor initiation and progression has been traditionally overlooked. While significant amounts of research focus on cellular and genetic links between aging and cancer, recent studies highlight how age-induced ECM changes create a tumor-permissive environment. Here we review this emerging research area, where age-related ECM alterations, such as age-induced increases in matrix stiffness, biochemical changes, and resultant dysregulated mechanosensitive pathways, are explored for their influence in cancer initiation and progression. Additionally, recent studies have showed how aged cells contribute to ECM alterations, further reinforcing tumor-permissive changes. This review examines both aspects of ECM aging, i.e. material-driven and cell-driven, and highlights current understandings of how ECM aging influences interactions within the tumor microenvironment in multiple cancer types, with a focus on biomechanical aspects. We also discuss emerging age-mimetic in vitro models facilitating studies of age-dependent cancer progression and therapeutic responses. Finally, we review therapeutic strategies that target aging-associated components or ECM changes to improve treatment efficacy.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"36 ","pages":"Article 100618"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Antibacterial electrospun nanofibers for wound dressing applications","authors":"Fuat Topuz , Tamer Uyar","doi":"10.1016/j.cobme.2025.100616","DOIUrl":"10.1016/j.cobme.2025.100616","url":null,"abstract":"<div><div>Electrospun nanofibers, with their high porosity, mechanical flexibility, ease of functionalization, and structural similarity to the extracellular matrix, represent a versatile platform for advanced wound dressings. Their capacity to incorporate bioactive components and cell-binding motifs facilitates cellular adhesion, proliferation, antimicrobial defense, and tissue regeneration. This review highlights recent progress (since 2020) in the development of antibacterial electrospun wound dressings, emphasizing systems composed of natural and synthetic polymers, as well as their hybrids. The electrospinning technique and the advantages of electrospun wound dressings are first briefly discussed. Key functionalization strategies using antibiotics, antibacterial peptides and phytochemicals, metal ions, and inorganic nanoparticles are then elaborated in the context of their mechanisms for combating bacterial infections. The ability to tailor material composition and achieve controlled release, along with embedding regenerative cues, makes electrospun nanofiber dressings strong candidates for treating both acute and chronic wounds.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"36 ","pages":"Article 100616"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fuel, form, and memory: The motility-driven journey of cancer cells","authors":"Carolina Trenado-Yuste , Celeste M. Nelson","doi":"10.1016/j.cobme.2025.100624","DOIUrl":"10.1016/j.cobme.2025.100624","url":null,"abstract":"<div><div>Tumor progression is a complex, multi-stage process that involves tumor formation, cancer cell invasion, metastasis, and colonization of distant sites. Each stage is driven in part by cell motility and interactions between cancer cells and their surrounding microenvironment. In this review, we describe how cell motility contributes to each stage of cancer progression, with a focus on cell metabolism, nuclear mechanics, and mechanical memory. Throughout, we highlight the mechanisms used by cancer cells to move and adapt during the metastatic cascade. Understanding how cancer cells migrate can provide valuable insights into novel approaches to disrupt metastasis and improve outcomes of cancer treatments.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"36 ","pages":"Article 100624"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nano-biomaterials: Emerging tools in biomedical innovation and therapy","authors":"Priya Mullick , Abhijit Manna","doi":"10.1016/j.cobme.2025.100627","DOIUrl":"10.1016/j.cobme.2025.100627","url":null,"abstract":"<div><div>Nano-biomaterials have become essential tools in biomedical and healthcare applications. To fully harness their potential, it is crucial to develop synthesis methods that are nontoxic, biocompatible, and environmentally friendly. This review highlights recent advancements in nano-biomaterials that address significant challenges such as bone regeneration, implant-associated infections, drug delivery, wound healing, and theranostics. Inorganic nanomaterials demonstrate notable biocompatibility and osteoinductive properties, making them suitable for bone and dental applications. Additionally, nanoparticle-reinforced hydrogels improve drug delivery and tissue regeneration by mimicking the extracellular matrix. Antibacterial surface coatings help to prevent implant-related infections while promoting tissue integration. Stimuli-responsive nanomaterials allow for controlled drug release in response to internal or external signals. Furthermore, CRISPR-Cas9-based nanocarriers enable precise gene editing with minimal off-target effects. Smart nanomaterials are also enhancing theranostic platforms and innovative tissue repair strategies. This review emphasizes the transformative role of multifunctional nano-biomaterials in shaping next-generation biomedical therapies.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"36 ","pages":"Article 100627"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shovito Barua Soumma , Abdullah Mamun , Hassan Ghasemzadeh
{"title":"AI-powered wearable sensors for health monitoring and clinical decision making","authors":"Shovito Barua Soumma , Abdullah Mamun , Hassan Ghasemzadeh","doi":"10.1016/j.cobme.2025.100628","DOIUrl":"10.1016/j.cobme.2025.100628","url":null,"abstract":"<div><div>AI-powered wearable sensors are transforming remote health monitoring by enabling real-time diagnostics, personalized interventions and proactive disease management. This review synthesizes recent advances in AI-integrated biosensors across conditions such as diabetes, cardiovascular disease, neurodegenerative dis- orders, mental health, and maternal/neonatal care, while addressing challenges of scalability, privacy, interoperability, and model robustness. We highlight machine learning methods—including federated learning, transfer learning, and edge- AI—that enhance the processing of physiological signals i.e., glucose levels, gait patterns, and heart rate variability. Key innovations, including FDA-approved glucose monitors and digital twins for predictive health modeling, underscore the shift toward patient-centric and data-driven care. Yet, persistent gaps remain, including device heterogeneity, privacy concerns, and the need for adaptive models that generalize across populations. Emerging approaches such as large language models and counterfactual explanations provide contextualized insights and transparent decision-making. By bridging technical advances with clinical needs, this review charts a roadmap toward democratized, equitable, and precise healthcare.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"36 ","pages":"Article 100628"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Intelligent nanoparticle design: Unlocking the potential of AI for transformative drug delivery","authors":"Sepinoud Azimi","doi":"10.1016/j.cobme.2025.100625","DOIUrl":"10.1016/j.cobme.2025.100625","url":null,"abstract":"<div><div>Artificial intelligence (AI) is revolutionizing nanoparticle (NP)-based drug delivery by tackling design, synthesis, and optimization challenges. Traditional approaches to NP development often rely on trial-and-error methods, leading to scalability, biocompatibility, and targeted drug release inefficiencies. This review explores how AI-driven models are transforming the landscape of NP formulation, from enhancing drug encapsulation and optimizing release kinetics to improving targeted delivery and overcoming physiological barriers. Additionally, we examine the challenges associated with AI integration, including data limitations and model interpretability, and discuss strategies for bridging these gaps. By leveraging AI, the field of nanomedicine can accelerate the transition from laboratory research to clinical applications, ultimately improving treatment outcomes for complex diseases.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"36 ","pages":"Article 100625"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Microfluidic platforms for organ-on-a-chip models: Creating dynamic microenvironments for organoid and multi-organ systems","authors":"Francesca Tomatis , Silvia Angiolillo , Eirini Maniou , Onelia Gagliano , Nicola Elvassore","doi":"10.1016/j.cobme.2025.100630","DOIUrl":"10.1016/j.cobme.2025.100630","url":null,"abstract":"<div><div>Organoids have revolutionized <em>in vitro</em> modeling of human development and disease, yet their full potential remains constrained by the limited spatial and temporal control over their microenvironment and 3D organization. The integration of organ-on-a-chip (OoC) technologies with organoids, the so-called organoids-on-a-chip (OrgOC) offers a powerful solution to overcome these limitations, enabling the development of dynamic, structured, and reproducible systems. In this review, we discuss how physical principles of microfluidics can be exploited to engineer microenvironments with precise control over shape, signaling, and tissue-level organization. We explore recent advances in microfluidic strategies for shaping organoid geometry, establishing spatiotemporal morphogen gradients, and integrating multi-organoid assemblies to mimic inter-organ communication. We also report scalable approaches for organoid production and sorting that leverage automation, to improve reproducibility, patterning fidelity, and scalability. Together, these approaches are redefining the landscape of <em>in vitro</em> modeling by bringing organoid systems closer to the complexity, integration, and responsiveness of human tissues.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"36 ","pages":"Article 100630"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}