We developed a new artificial placenta (AP) system consisting of a loop circuit configuration extracorporeal membrane oxygenation (ECMO) with a bridge circuit designed to be applied to the fetus in the form of an umbilical arterial-venous connection. We aimed to evaluate the feasibility of the AP system by performing a hydrodynamic simulation using a mechanical mock circulation system and fetal animal experiment. The effect of the working condition of the AP system on the fetal hemodynamics was evaluated by hydrodynamic simulation using a mechanical mock circulation system, assuming the weight of the fetus to be 2 kg. The AP system was introduced to two fetal goats at a gestational age of 135 days. The general conditions of the experimental animals were evaluated. The mock simulation showed that in an AP system with ECMO in the form of an umbilical arterial-venous connection in series, it could be difficult to maintain fetal hemodynamics when high ECMO flow was applied. The developed AP system could have high ECMO flow with less umbilical blood flow; however, the possibility of excessive load on the fetal right-sided heart should be noted. In the animal experiment, kid 1 (1.9 kg) was maintained on the AP system for 12 days and allowed to grow to term. In kid 2 (1.6 kg), the AP system could not be established because of the occlusion of the system by a thrombus. The developed AP system was feasible under both in vitro and in vivo conditions. Improvements in the AP system and management of the general fetal conditions are essential.
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http://dx.doi.org/10.1007/s10047-022-01370-z | DOI Listing |
Comput Biol Med
January 2025
Emerging Technologies Research Lab (ETRL), College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia. Electronic address:
- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.
View Article and Find Full Text PDFComput Biol Med
January 2025
Neurological Sciences and Cerebrovascular Research Laboratory, Department of Neurology and Stroke Centre, Neurology and Cerebrovascular Disease Group, Neuroscience Area La Paz Institute for Health Research (idiPAZ), (La Paz University Hospital- Universidad Autónoma de Madrid), Spain. Electronic address:
The quantitative evaluation of motor function in experimental stroke models is essential for the preclinical assessment of new therapeutic strategies that can be transferred to clinical research; however, conventional assessment tests are hampered by the evaluator's subjectivity. We present an artificial intelligence-based system for the automatic, accurate, and objective analysis of target parameters evaluated by the ledged beam walking test, which offers higher sensitivity than the current methodology based on manual and visual counting. This system employs a residual deep network model, trained with DeepLabCut (DLC) to extract target paretic hindlimb coordinates, which are categorized to provide a ratio measurement of the animal's neurological deficit.
View Article and Find Full Text PDFMult Scler Relat Disord
January 2025
Multiple Sclerosis Center of Excellence West, Veterans Affairs, USA; Rehabilitation Care Service, VA Puget Sound Health Care System, 1660 S Columbian Way, Seattle, Washington, 98108, USA; Department of Rehabilitation Medicine, University of Washington, 325 9th Avenue, Seattle, Washington, 98104, USA. Electronic address:
Background/objective: Identifying research priorities of Veterans, MS researchers, and key stakeholders is critical to advance high-quality, evidence-based, and Veteran-specific MS care.
Methods: We used a modified Delphi approach to identify research priorities for Veterans with MS. Electronic surveys were distributed to Veterans with MS (n = 50,975), MS researchers (n = 191), VA healthcare providers (1,337), and funding agency representatives (n = 6) asking about their 2-3 most important research questions that would benefit Veterans with MS for researchers to answer in the next 5-10 years.
Stem Cells
January 2025
Bioengineering Graduate Program, University of Notre Dame, Notre Dame, 46556 IN, USA.
Myocardial infarction can lead to the loss of billions of cardiomyocytes, and while cell-based therapies are an option, immature nature of in vitro-generated human induced pluripotent stem cell (iPSC)-derived cardiomyocytes (iCMs) is a roadblock to their development. Existing iPSC differentiation protocols don't go beyond producing fetal iCMs. Recently, adult extracellular matrix (ECM) was shown to retain tissue memory and have some success driving tissue-specific differentiation in unspecified cells in various organ systems.
View Article and Find Full Text PDFJ Cereb Blood Flow Metab
January 2025
Departments of Neurology and Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, USA.
Therapeutic drug development for central nervous system injuries, such as traumatic brain injury (TBI), presents significant challenges. TBI results in primary mechanical damage followed by secondary injury, leading to cognitive dysfunction and memory loss. Our recent study demonstrated the potential of carbon monoxide-releasing molecules (CORMs) to improve TBI recovery by enhancing neurogenesis.
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