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http://dx.doi.org/10.19191/EP24.2.034 | DOI Listing |
Biotechnol Adv
September 2025
College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruit and Vegetable Processing, Beijing, China; Key Laboratory of Fruit and Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing, Ch
Precision fermentation represents an innovative cell-based production approach that employs synthetic biology and metabolic engineering tools, revolutionizing global food production by utilizing "microbial cell factories" to produce added-value ingredients. However, its global implementation is hindered by technological and scalability bottlenecks, regulatory fragmentation, regional accessibility and consumer acceptance, and nutritional trade-offs challenges. This review utilizes illustrated case studies and modeling analysis to present a detailed exploration of precision fermentation intersecting with global cell-based food production, discussing actionable research gaps and insights as well as advanced bioengineering practices and analytical techniques, to address these challenges for ongoing academic research, industrial applications and policy initiatives, thus supporting the transition of fermentation-enabled food production toward efficient and sustainable manufacturing.
View Article and Find Full Text PDFMar Environ Res
September 2025
Functional Biology Department (Ecology Area), Faculty of Biology, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain.
Balancing socio-economic development with environmental quality in estuaries requires reliable tools for ecological assessment and informed management. Although various biological and (geo)chemical indices have been formulated to evaluate ecological quality status (EcoQS), transitional systems such as estuaries remain challenging to assess due to steep natural gradients and intense anthropogenic pressures, which can compromise the effectiveness of conventional indices. This study applied a practical, multi-criteria sediment assessment to evaluate benthic EcoQS in the Sado estuary, SW Portugal - a socio-ecological system strongly influenced by human activity.
View Article and Find Full Text PDFOphthalmic Physiol Opt
September 2025
Division of Occupational Therapy and Physical Therapy, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Purpose: Cerebral Visual Impairment (CVI) is the leading cause of paediatric visual impairment in developed countries. Earlier diagnosis provides access to early intervention, which may improve visual function, functional vision and developmental outcomes. The purpose of this study was to determine the age and timing of CVI diagnosis and the severity of CVI.
View Article and Find Full Text PDFObesity (Silver Spring)
September 2025
Division of Hematology, Oncology, and Palliative Care, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA.
Objective: From October 18-20, 2022, the National Institutes of Health held a workshop to examine the state of the science concerning obesity interventions in adults to promote health equity. The workshop had three objectives: (1) Convene experts from key institutions and the community to identify gaps in knowledge and opportunities to address obesity, (2) generate recommendations for obesity prevention and treatment to achieve health equity, and (3) identify challenges and needs to address obesity prevalence and disparities, and develop a diverse workforce.
Methods: A three-day virtual convening.
Clin Cosmet Investig Dermatol
September 2025
Biomedical Engineering Unit, Department of Physiology, College of Medicine, Kuwait University, Safat, Kuwait.
Artificial intelligence (AI) is increasingly reshaping cosmetic surgery by enhancing surgical planning, predicting outcomes, and enabling objective aesthetic assessment. Through narrative synthesis of existing literature and case studies, this perspective paper explores the issue of algorithmic bias in AI-powered aesthetic technologies and presents a framework for culturally sensitive application within cosmetic surgery practices in the Middle East and North Africa (MENA) region. Existing AI systems are predominantly trained on datasets that underrepresent MENA phenotypes, resulting in aesthetic recommendations that disproportionately reflect Western beauty ideals.
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