Chi Young Hwang, Eui-Sang Cho, Seong-Bo Kim, Myung-Ji Seo
{"title":"Pathway reconstruction of Corynebacterium glutamicum for C30 carotenoid 4,4'-diaponeurosporene production.","authors":"Chi Young Hwang, Eui-Sang Cho, Seong-Bo Kim, Myung-Ji Seo","doi":"10.1186/s13036-026-00674-5","DOIUrl":"10.1186/s13036-026-00674-5","url":null,"abstract":"","PeriodicalId":15053,"journal":{"name":"Journal of Biological Engineering","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13151236/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147573793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Beyond linearity: reimagining AI as a participant in circular bioeconomies.","authors":"Aarthi Muthukumar, Barira Rashid, Lihong Yang","doi":"10.1186/s13036-026-00672-7","DOIUrl":"10.1186/s13036-026-00672-7","url":null,"abstract":"<p><p>As artificial intelligence transitions from industry-exclusive tool to public-facing technology, society faces critical decisions about its integration into socioecological systems. This paper proposes a reimagining of AI as a synthetic participant in the circular bioeconomy (CBE)-a regenerative model emphasizing cyclical flows of resources, information, and energy. Drawing on Bruno Latour's Actor-Network Theory and Donna Haraway's posthumanism, we reconceptualize AI as a non-living organism capable of functioning within multispecies systems, analogous to viruses that shape ecosystems without conventional life. Conventional, in that it meets the standard biological criteria for like: metabolism, reproduction, and homeostasis. AI, like viruses, does not meet this biological criteria. Current AI applications in CBE-from biowaste recycling to precision agriculture-demonstrate both transformative potential and ethical concerns. While AI enables unprecedented efficiency through advanced algorithms and embodied robotics, it risks perpetuating extractive logics that treat information as a resource to be mined rather than circulated. Critical ethical challenges emerge including algorithmic bias amplifying inequalities, epistemic opacity eroding stakeholder trust, blurred accountability for AI-driven harm, displacement of human labor, and marginalization of indigenous and local ecological knowledge. Through examples in medicine and remote sensing, we argue that AI becomes a \"friend\" to the Circular Bioeconomy (CBE) only when designed as circular and relational rather than linear and extractive. This requires synthetic datasets preserving privacy, multimodal architectures enabling dimensional understanding, and human-machine-ecosystem feedback loops replacing terminal outputs with ongoing accountability. Ultimately, AI's role depends on intentional design grounded in justice and multispecies dignity-transforming it from extractive tool into participant in shared regenerative futures.</p>","PeriodicalId":15053,"journal":{"name":"Journal of Biological Engineering","volume":"20 1","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13023148/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147529253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"High-titer 2-phenylethanol production in Escherichia coli via decarboxylation-step optimization and a vegetable-oil overlay for biocompatible in situ recovery.","authors":"Chang Liu, Hongwei Zhang, Wanbin Xing, Rina Na, Xuanyu Meng, Sichen Huang, Linlin Wang, Guoqiang Cao, Pengchao Wang","doi":"10.1186/s13036-026-00667-4","DOIUrl":"10.1186/s13036-026-00667-4","url":null,"abstract":"","PeriodicalId":15053,"journal":{"name":"Journal of Biological Engineering","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13147604/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147529196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Physics-based simulation of ultrasound propagation from MRI volumes for cross-modal breast imaging.","authors":"Aarthi Muthukumar, Isain Zapata, Amanda Brooks","doi":"10.1186/s13036-026-00658-5","DOIUrl":"10.1186/s13036-026-00658-5","url":null,"abstract":"<p><strong>Background: </strong>Magnetic resonance imaging (MRI) of breast tissue is often used to definitively diagnose breast cancer due to its high soft-tissue contrast. However, its high cost and limited accessibility make it unsuitable for real-time screening, unlike ultrasound. Machine learning models that synthesize MRI from ultrasound could enable low-cost screening and triage by providing MRI-like tissue characterization during routine ultrasound exams. However, machine learning models trained to generate synthetic MRIs from ultrasound often struggle due to the absence of paired datasets across imaging modalities. This lack of paired datasets is a particular struggle in the field of model building for medical imaging purposes. We propose a physics-based method for generating synthetic ultrasound images from MRI volumes using mathematical modeling of acoustic beam propagation and tissue composition.</p><p><strong>Results: </strong>We use a singular MRI example as a proof-of-concept of this physics simulation, which is based on pre-existing ultrasound physics. Each MRI slice was divided into a 2 × 2 grid to identify local beam entry regions. Tangent lines were calculated along each grid edge to estimate perpendicular ultrasound beam paths in a pinwheel fashion around the breast tissue. Initial simulations indicate that the generated ultrasound-like images reproduce plausible intensity gradients and textural variation consistent with known acoustic-tissue interactions.</p><p><strong>Conclusions: </strong>In resource-limited settings, access to MRI for breast cancer workup remains a significant barrier when ultrasound findings are inconclusive. To enable development of cross-modal synthesis models, we present a physics-based simulation framework that creates paired MRI-ultrasound training datasets by synthesizing realistic ultrasound images from available MRI data. This supports the feasibility of using physics-driven methods to generate synthetic ultrasound from MRI data. Because contrast enhancement and vascular permeability are not modeled, this framework should be interpreted as a non-contrast anatomical MRI to conventional B-mode ultrasound simulation rather than a complete cross-modal transformation that captures DCE-MRI or contrast-enhanced ultrasound behavior.</p>","PeriodicalId":15053,"journal":{"name":"Journal of Biological Engineering","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13141356/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147520856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shogo Yoshimoto, Hayata Yamada, Shori Inoue, Katsutoshi Hori
{"title":"Desiccation-tolerant Acinetobacter as a robust chassis candidate for gas-phase bioprocesses.","authors":"Shogo Yoshimoto, Hayata Yamada, Shori Inoue, Katsutoshi Hori","doi":"10.1186/s13036-026-00668-3","DOIUrl":"10.1186/s13036-026-00668-3","url":null,"abstract":"","PeriodicalId":15053,"journal":{"name":"Journal of Biological Engineering","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13130816/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147503911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haetsal Kim, Soo Young Moon, Joon Young Park, Seung-Ho Baek, Bong Hyun Sung, Jeong Wook Lee, Ju Young Lee, Myung Hyun Noh
{"title":"Biosensor-guided directed evolution of aldehyde dehydrogenase for improved adipic acid production from caprolactone.","authors":"Haetsal Kim, Soo Young Moon, Joon Young Park, Seung-Ho Baek, Bong Hyun Sung, Jeong Wook Lee, Ju Young Lee, Myung Hyun Noh","doi":"10.1186/s13036-026-00665-6","DOIUrl":"10.1186/s13036-026-00665-6","url":null,"abstract":"","PeriodicalId":15053,"journal":{"name":"Journal of Biological Engineering","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13130800/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147503868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohamed A Abdelkhalek, Mohamed M Abdelaal, Sara A Abdel Gaber
{"title":"Engineered Metal-Organic Frameworks (MOFs)-electrospun nanofibers for wound healing: a review.","authors":"Mohamed A Abdelkhalek, Mohamed M Abdelaal, Sara A Abdel Gaber","doi":"10.1186/s13036-026-00650-z","DOIUrl":"10.1186/s13036-026-00650-z","url":null,"abstract":"","PeriodicalId":15053,"journal":{"name":"Journal of Biological Engineering","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13064101/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147503846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}