Pub Date : 2025-05-01Epub Date: 2025-01-02DOI: 10.1146/annurev-bioeng-110122-012818
Sergey D Stavisky
People who have lost the ability to speak due to neurological injuries would greatly benefit from assistive technology that provides a fast, intuitive, and naturalistic means of communication. This need can be met with brain-computer interfaces (BCIs): medical devices that bypass injured parts of the nervous system and directly transform neural activity into outputs such as text or sound. BCIs for restoring movement and typing have progressed rapidly in recent clinical trials; speech BCIs are the next frontier. This review covers the clinical need for speech BCIs, surveys foundational studies that point to where and how speech can be decoded in the brain, describes recent progress in both discrete and continuous speech decoding and closed-loop speech BCIs, provides metrics for assessing these systems' performance, and highlights key remaining challenges on the road toward clinically useful speech neuroprostheses.
{"title":"Restoring Speech Using Brain-Computer Interfaces.","authors":"Sergey D Stavisky","doi":"10.1146/annurev-bioeng-110122-012818","DOIUrl":"10.1146/annurev-bioeng-110122-012818","url":null,"abstract":"<p><p>People who have lost the ability to speak due to neurological injuries would greatly benefit from assistive technology that provides a fast, intuitive, and naturalistic means of communication. This need can be met with brain-computer interfaces (BCIs): medical devices that bypass injured parts of the nervous system and directly transform neural activity into outputs such as text or sound. BCIs for restoring movement and typing have progressed rapidly in recent clinical trials; speech BCIs are the next frontier. This review covers the clinical need for speech BCIs, surveys foundational studies that point to where and how speech can be decoded in the brain, describes recent progress in both discrete and continuous speech decoding and closed-loop speech BCIs, provides metrics for assessing these systems' performance, and highlights key remaining challenges on the road toward clinically useful speech neuroprostheses.</p>","PeriodicalId":50757,"journal":{"name":"Annual Review of Biomedical Engineering","volume":" ","pages":"29-54"},"PeriodicalIF":9.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-05-01DOI: 10.1146/annurev-bioeng-020524-121438
Jin-Hoon Kim, Hyeokjun Yoon, Shrihari Viswanath, Canan Dagdeviren
With increasing demands for continuous health monitoring remotely, wearable and implantable devices have attracted considerable interest. To fulfill such demands, novel materials and device structures have been investigated, since commercial biomedical devices are not compatible with flexible and conformable form factors needed for soft tissue monitoring and intervention. Among various materials, piezoelectric materials have been widely adopted for multiple applications including sensing, energy harvesting, neurostimulation, drug delivery, and ultrasound imaging owing to their unique electromechanical conversion properties. In this review, we provide a comprehensive overview of piezoelectric-based wearable and implantable biomedical devices. We first provide the basic principles of piezoelectric devices and device design strategies for wearable and implantable form factors. Then, we discuss various state-of-the-art applications of wearable and implantable piezoelectric devices and their design strategies. Finally, we demonstrate several challenges and outlooks for designing piezoelectric-based conformable biomedical devices.
{"title":"Conformable Piezoelectric Devices and Systems for Advanced Wearable and Implantable Biomedical Applications.","authors":"Jin-Hoon Kim, Hyeokjun Yoon, Shrihari Viswanath, Canan Dagdeviren","doi":"10.1146/annurev-bioeng-020524-121438","DOIUrl":"10.1146/annurev-bioeng-020524-121438","url":null,"abstract":"<p><p>With increasing demands for continuous health monitoring remotely, wearable and implantable devices have attracted considerable interest. To fulfill such demands, novel materials and device structures have been investigated, since commercial biomedical devices are not compatible with flexible and conformable form factors needed for soft tissue monitoring and intervention. Among various materials, piezoelectric materials have been widely adopted for multiple applications including sensing, energy harvesting, neurostimulation, drug delivery, and ultrasound imaging owing to their unique electromechanical conversion properties. In this review, we provide a comprehensive overview of piezoelectric-based wearable and implantable biomedical devices. We first provide the basic principles of piezoelectric devices and device design strategies for wearable and implantable form factors. Then, we discuss various state-of-the-art applications of wearable and implantable piezoelectric devices and their design strategies. Finally, we demonstrate several challenges and outlooks for designing piezoelectric-based conformable biomedical devices.</p>","PeriodicalId":50757,"journal":{"name":"Annual Review of Biomedical Engineering","volume":"27 1","pages":"255-282"},"PeriodicalIF":9.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144048537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-05-01Epub Date: 2025-01-28DOI: 10.1146/annurev-bioeng-110122-015901
Jieliyue Sun, Sixian Jia, Chenhui Shao, Michelle R Dawson, Kimani C Toussaint
The rise in popularity of two-photon polymerization (TPP) as an additive manufacturing technique has impacted many areas of science and engineering, particularly those related to biomedical applications. Compared with other fabrication methods used for biomedical applications, TPP offers 3D, nanometer-scale fabrication dexterity (free-form). Moreover, the existence of turnkey commercial systems has increased accessibility. In this review, we discuss the diversity of biomedical applications that have benefited from the unique features of TPP. We also present the state of the art in approaches for patterning and reading 3D TPP-fabricated structures. The reading process influences the fidelity for both in situ and ex situ characterization methods. We also review efforts to leverage machine learning to facilitate process control for TPP. Finally, we conclude with a discussion of both the current challenges and exciting opportunities for biomedical applications that lie ahead for this intriguing and emerging technology.
{"title":"Emerging Technologies for Multiphoton Writing and Reading of Polymeric Architectures for Biomedical Applications.","authors":"Jieliyue Sun, Sixian Jia, Chenhui Shao, Michelle R Dawson, Kimani C Toussaint","doi":"10.1146/annurev-bioeng-110122-015901","DOIUrl":"10.1146/annurev-bioeng-110122-015901","url":null,"abstract":"<p><p>The rise in popularity of two-photon polymerization (TPP) as an additive manufacturing technique has impacted many areas of science and engineering, particularly those related to biomedical applications. Compared with other fabrication methods used for biomedical applications, TPP offers 3D, nanometer-scale fabrication dexterity (free-form). Moreover, the existence of turnkey commercial systems has increased accessibility. In this review, we discuss the diversity of biomedical applications that have benefited from the unique features of TPP. We also present the state of the art in approaches for patterning and reading 3D TPP-fabricated structures. The reading process influences the fidelity for both in situ and ex situ characterization methods. We also review efforts to leverage machine learning to facilitate process control for TPP. Finally, we conclude with a discussion of both the current challenges and exciting opportunities for biomedical applications that lie ahead for this intriguing and emerging technology.</p>","PeriodicalId":50757,"journal":{"name":"Annual Review of Biomedical Engineering","volume":" ","pages":"129-155"},"PeriodicalIF":9.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143060960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-05-01Epub Date: 2025-03-03DOI: 10.1146/annurev-bioeng-102723-013709
Andreas Escher, Carlos Aguilar Vega, Markus A Horvath, Caglar Ozturk, Ellen T Roche
Preclinical modeling of human circulation has been instrumental in advancing cardiovascular medicine. Alongside clinical research, the armamentarium of computational (e.g., lumped parameter or computational fluid dynamics) and experimental (e.g., benchtop or animal) models have substantially enhanced our understanding of risk factors and root causes for circulatory diseases. Recent innovations are further disrupting the boundaries of these preclinical models toward patient-specific simulations, surgical planning, and postoperative outcome prediction. This fast-paced progress empowers preclinical modeling to increasingly delve into the intricacies of single ventricle physiology, a rare and heterogeneous congenital heart disease that remains inadequately understood. Here, we review the current landscape of preclinical modeling (computational and experimental) proposed to advance clinical management of a prominent yet complex subset of single ventricle physiology: patients who have undergone Fontan-type surgical corrections. Further, we explore recent innovations and emerging technologies that are poised to bridge the gap between preclinical Fontan modeling and clinical implementation.
{"title":"Leveraging Preclinical Modeling for Clinical Advancements in Single Ventricle Physiology: Spotlight on the Fontan Circulation.","authors":"Andreas Escher, Carlos Aguilar Vega, Markus A Horvath, Caglar Ozturk, Ellen T Roche","doi":"10.1146/annurev-bioeng-102723-013709","DOIUrl":"10.1146/annurev-bioeng-102723-013709","url":null,"abstract":"<p><p>Preclinical modeling of human circulation has been instrumental in advancing cardiovascular medicine. Alongside clinical research, the armamentarium of computational (e.g., lumped parameter or computational fluid dynamics) and experimental (e.g., benchtop or animal) models have substantially enhanced our understanding of risk factors and root causes for circulatory diseases. Recent innovations are further disrupting the boundaries of these preclinical models toward patient-specific simulations, surgical planning, and postoperative outcome prediction. This fast-paced progress empowers preclinical modeling to increasingly delve into the intricacies of single ventricle physiology, a rare and heterogeneous congenital heart disease that remains inadequately understood. Here, we review the current landscape of preclinical modeling (computational and experimental) proposed to advance clinical management of a prominent yet complex subset of single ventricle physiology: patients who have undergone Fontan-type surgical corrections. Further, we explore recent innovations and emerging technologies that are poised to bridge the gap between preclinical Fontan modeling and clinical implementation.</p>","PeriodicalId":50757,"journal":{"name":"Annual Review of Biomedical Engineering","volume":" ","pages":"449-472"},"PeriodicalIF":9.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-05-01Epub Date: 2024-12-17DOI: 10.1146/annurev-bioeng-103122-030552
Kevin A Janes, Matthew J Lazzara
Questions in cancer have engaged systems biologists for decades. During that time, the quantity of molecular data has exploded, but the need for abstractions, formal models, and simplifying insights has remained the same. This review brings together classic breakthroughs and recent findings in the field of cancer systems biology, focusing on cancer cell pathways for tumorigenesis and therapeutic response. Cancer cells mutate and transduce information from their environment to alter gene expression, metabolism, and phenotypic states. Understanding the molecular architectures that make each of these steps possible is a long-term goal of cancer systems biology pursued by iterating between quantitative models and experiments. We argue that such iteration is the best path to deploying targeted therapies intelligently so that each patient receives the maximum benefit for their cancer.
{"title":"Systems Biology of the Cancer Cell.","authors":"Kevin A Janes, Matthew J Lazzara","doi":"10.1146/annurev-bioeng-103122-030552","DOIUrl":"10.1146/annurev-bioeng-103122-030552","url":null,"abstract":"<p><p>Questions in cancer have engaged systems biologists for decades. During that time, the quantity of molecular data has exploded, but the need for abstractions, formal models, and simplifying insights has remained the same. This review brings together classic breakthroughs and recent findings in the field of cancer systems biology, focusing on cancer cell pathways for tumorigenesis and therapeutic response. Cancer cells mutate and transduce information from their environment to alter gene expression, metabolism, and phenotypic states. Understanding the molecular architectures that make each of these steps possible is a long-term goal of cancer systems biology pursued by iterating between quantitative models and experiments. We argue that such iteration is the best path to deploying targeted therapies intelligently so that each patient receives the maximum benefit for their cancer.</p>","PeriodicalId":50757,"journal":{"name":"Annual Review of Biomedical Engineering","volume":" ","pages":"1-28"},"PeriodicalIF":9.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142848347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-05-01Epub Date: 2025-02-19DOI: 10.1146/annurev-bioeng-110122-122343
Jade Coxon, Emily Linder, Caden Sweet, Scott Magness, Leopold Green
Organ-on-a-chip (OOC) and organoid technologies are at the forefront of developing sophisticated in vitro systems that replicate complex host-microbiome interactions, including those associated with vaginal health and lung infection. We explore how these technologies provide insights into host-microbiome and host-pathogen interactions and the associated immune responses. Integrating omics data and high-resolution imaging in analyzing these models enhances our understanding of host-microbiome interactions' temporal and spatial aspects, paving the way for new diagnostic and treatment strategies. This review underscores the potential of OOC and organoid technologies in elucidating the complexities of vaginal health and lung disease, which have received less attention than other organ systems in recent organoid and OCC studies. Yet, each system presents notable characteristics, rendering them ideal candidates for these designs. Additionally, this review describes the key factors associated with each organ system and how to choose the technology setup to replicate human physiology.
{"title":"Replicating Host-Microbiome Interactions: Harnessing Organ-on-a-Chip and Organoid Technologies to Model Vaginal and Lung Physiology.","authors":"Jade Coxon, Emily Linder, Caden Sweet, Scott Magness, Leopold Green","doi":"10.1146/annurev-bioeng-110122-122343","DOIUrl":"10.1146/annurev-bioeng-110122-122343","url":null,"abstract":"<p><p>Organ-on-a-chip (OOC) and organoid technologies are at the forefront of developing sophisticated in vitro systems that replicate complex host-microbiome interactions, including those associated with vaginal health and lung infection. We explore how these technologies provide insights into host-microbiome and host-pathogen interactions and the associated immune responses. Integrating omics data and high-resolution imaging in analyzing these models enhances our understanding of host-microbiome interactions' temporal and spatial aspects, paving the way for new diagnostic and treatment strategies. This review underscores the potential of OOC and organoid technologies in elucidating the complexities of vaginal health and lung disease, which have received less attention than other organ systems in recent organoid and OCC studies. Yet, each system presents notable characteristics, rendering them ideal candidates for these designs. Additionally, this review describes the key factors associated with each organ system and how to choose the technology setup to replicate human physiology.</p>","PeriodicalId":50757,"journal":{"name":"Annual Review of Biomedical Engineering","volume":" ","pages":"403-423"},"PeriodicalIF":9.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-05-01Epub Date: 2025-01-28DOI: 10.1146/annurev-bioeng-062824-121925
Irina Filz von Reiterdank, Raphaela Bento, Insoo Hyun, Rosario Isasi, Susan M Wolf, J Henk Coert, Aebele B Mink van der Molen, Biju Parekkadan, Korkut Uygun
Gene therapy is a rapidly developing field, finally yielding clinical benefits. Genetic engineering of organs for transplantation may soon be an option, thanks to convergence with another breakthrough technology, ex vivo machine perfusion (EVMP). EVMP allows access to the functioning organ for genetic manipulation prior to transplant. EVMP has the potential to enhance genetic engineering efficiency, improve graft survival, and reduce posttransplant complications. This will enable genetic modifications with a vast variety of applications, while raising questions on the ethics and regulation of this emerging technology. This review provides an in-depth discussion of current methodologies for delivering genetic vectors to transplantable organs, particularly focusing on the enabling role of EVMP. Organ-by-organ analysis and key characteristics of various vector and treatment options are assessed. We offer a road map for research and clinical translation, arguing that achieving scientific benchmarks while creating anticipatory governance is necessary to secure societal benefit from this technology.
{"title":"Designer Organs: Ethical Genetic Modifications in the Era of Machine Perfusion.","authors":"Irina Filz von Reiterdank, Raphaela Bento, Insoo Hyun, Rosario Isasi, Susan M Wolf, J Henk Coert, Aebele B Mink van der Molen, Biju Parekkadan, Korkut Uygun","doi":"10.1146/annurev-bioeng-062824-121925","DOIUrl":"10.1146/annurev-bioeng-062824-121925","url":null,"abstract":"<p><p>Gene therapy is a rapidly developing field, finally yielding clinical benefits. Genetic engineering of organs for transplantation may soon be an option, thanks to convergence with another breakthrough technology, ex vivo machine perfusion (EVMP). EVMP allows access to the functioning organ for genetic manipulation prior to transplant. EVMP has the potential to enhance genetic engineering efficiency, improve graft survival, and reduce posttransplant complications. This will enable genetic modifications with a vast variety of applications, while raising questions on the ethics and regulation of this emerging technology. This review provides an in-depth discussion of current methodologies for delivering genetic vectors to transplantable organs, particularly focusing on the enabling role of EVMP. Organ-by-organ analysis and key characteristics of various vector and treatment options are assessed. We offer a road map for research and clinical translation, arguing that achieving scientific benchmarks while creating anticipatory governance is necessary to secure societal benefit from this technology.</p>","PeriodicalId":50757,"journal":{"name":"Annual Review of Biomedical Engineering","volume":" ","pages":"101-128"},"PeriodicalIF":9.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12229083/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143060959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-05-01Epub Date: 2025-01-22DOI: 10.1146/annurev-bioeng-110222-100246
William J Polacheck, J Brandon Dixon, Wen Yih Aw
The lymphatic vasculature plays critical roles in maintaining fluid homeostasis, transporting lipid, and facilitating immune surveillance. A growing body of work has identified lymphatic dysfunction as contributing to the severity of myriad diseases and to systemic inflammation, as well as modulating drug responses. Here, we review efforts to reconstruct lymphatic vessels in vitro toward establishing humanized, functional models to advance understanding of lymphatic biology and pathophysiology. We first review lymphatic endothelial cell biology and the biophysical lymphatic microenvironment, with a focus on features that are unique to the lymphatics and that have been used as design parameters for lymphatic-on-chip devices. We then discuss the state of the art for recapitulating lymphatic function in vitro, and we acknowledge limitations and challenges to current approaches. Finally, we discuss opportunities and the need for further development of microphysiological lymphatic systems to bridge the gap in model systems between lymphatic cell culture and animal physiology.
{"title":"Understanding the Lymphatic System: Tissue-on-Chip Modeling.","authors":"William J Polacheck, J Brandon Dixon, Wen Yih Aw","doi":"10.1146/annurev-bioeng-110222-100246","DOIUrl":"10.1146/annurev-bioeng-110222-100246","url":null,"abstract":"<p><p>The lymphatic vasculature plays critical roles in maintaining fluid homeostasis, transporting lipid, and facilitating immune surveillance. A growing body of work has identified lymphatic dysfunction as contributing to the severity of myriad diseases and to systemic inflammation, as well as modulating drug responses. Here, we review efforts to reconstruct lymphatic vessels in vitro toward establishing humanized, functional models to advance understanding of lymphatic biology and pathophysiology. We first review lymphatic endothelial cell biology and the biophysical lymphatic microenvironment, with a focus on features that are unique to the lymphatics and that have been used as design parameters for lymphatic-on-chip devices. We then discuss the state of the art for recapitulating lymphatic function in vitro, and we acknowledge limitations and challenges to current approaches. Finally, we discuss opportunities and the need for further development of microphysiological lymphatic systems to bridge the gap in model systems between lymphatic cell culture and animal physiology.</p>","PeriodicalId":50757,"journal":{"name":"Annual Review of Biomedical Engineering","volume":" ","pages":"73-100"},"PeriodicalIF":9.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12232918/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143025675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-05-01DOI: 10.1146/annurev-bioeng-102723-013922
Dennis Hein, Afshin Bozorgpour, Dorit Merhof, Ge Wang
Physics-inspired generative models (GMs), in particular diffusion models and Poisson flow models, enhance Bayesian methods and promise great utility in medical imaging. This review examines the transformative role of such generative methods. First, a variety of physics-inspired GMs, including denoising diffusion probabilistic models, score-based diffusion models, and Poisson flow generative models (including PFGM++), are revisited, with an emphasis on their accuracy, robustness and acceleration. Then, major applications of physics-inspired GMs in medical imaging are presented, comprising image reconstruction, image generation, and image analysis. Finally, future research directions are brainstormed, including unification of physics-inspired GMs, integration with vision-language models, and potential novel applications of GMs. Since the development of generative methods has been rapid, it is hoped that this review will give peers and learners a timely snapshot of this new family of physics-driven GMs and help capitalize their enormous potential for medical imaging.
{"title":"Physics-Inspired Generative Models in Medical Imaging.","authors":"Dennis Hein, Afshin Bozorgpour, Dorit Merhof, Ge Wang","doi":"10.1146/annurev-bioeng-102723-013922","DOIUrl":"10.1146/annurev-bioeng-102723-013922","url":null,"abstract":"<p><p>Physics-inspired generative models (GMs), in particular diffusion models and Poisson flow models, enhance Bayesian methods and promise great utility in medical imaging. This review examines the transformative role of such generative methods. First, a variety of physics-inspired GMs, including denoising diffusion probabilistic models, score-based diffusion models, and Poisson flow generative models (including PFGM++), are revisited, with an emphasis on their accuracy, robustness and acceleration. Then, major applications of physics-inspired GMs in medical imaging are presented, comprising image reconstruction, image generation, and image analysis. Finally, future research directions are brainstormed, including unification of physics-inspired GMs, integration with vision-language models, and potential novel applications of GMs. Since the development of generative methods has been rapid, it is hoped that this review will give peers and learners a timely snapshot of this new family of physics-driven GMs and help capitalize their enormous potential for medical imaging.</p>","PeriodicalId":50757,"journal":{"name":"Annual Review of Biomedical Engineering","volume":"27 1","pages":"499-525"},"PeriodicalIF":9.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144006770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-05-01Epub Date: 2025-02-06DOI: 10.1146/annurev-bioeng-110122-121128
Jae Young Park, Nikolas Barrera, Tianyu Bai, Ellis Meng, Hui Fang, Hyowon Lee
Microscale sensors and actuators have been widely explored by the scientific community to augment the functionality of conventional medical implants. However, despite the many innovative concepts proposed, a negligible fraction has successfully made the leap from concept to clinical translation. This shortfall is primarily due to the considerable disparity between academic research prototypes and market-ready products. As such, it is critically important to examine the lessons learned in successful commercialization efforts to inform early-stage translational research efforts. Here, we review the regulatory prerequisites for market approval and provide a comprehensive analysis of commercially available microimplants from a device design perspective. Our objective is to illuminate both the technological advances underlying successfully commercialized devices and the key takeaways from the commercialization process, thereby facilitating a smoother pathway from academic research to clinical impact.
{"title":"Lessons Learned and Challenges Ahead in the Translation of Implantable Microscale Sensors and Actuators.","authors":"Jae Young Park, Nikolas Barrera, Tianyu Bai, Ellis Meng, Hui Fang, Hyowon Lee","doi":"10.1146/annurev-bioeng-110122-121128","DOIUrl":"10.1146/annurev-bioeng-110122-121128","url":null,"abstract":"<p><p>Microscale sensors and actuators have been widely explored by the scientific community to augment the functionality of conventional medical implants. However, despite the many innovative concepts proposed, a negligible fraction has successfully made the leap from concept to clinical translation. This shortfall is primarily due to the considerable disparity between academic research prototypes and market-ready products. As such, it is critically important to examine the lessons learned in successful commercialization efforts to inform early-stage translational research efforts. Here, we review the regulatory prerequisites for market approval and provide a comprehensive analysis of commercially available microimplants from a device design perspective. Our objective is to illuminate both the technological advances underlying successfully commercialized devices and the key takeaways from the commercialization process, thereby facilitating a smoother pathway from academic research to clinical impact.</p>","PeriodicalId":50757,"journal":{"name":"Annual Review of Biomedical Engineering","volume":" ","pages":"211-233"},"PeriodicalIF":9.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}