Human brain organoids (HBOs) derived from pluripotent stem cells hold great potential for disease modeling and high-throughput compound screening, given their structural and functional resemblance to fetal brain tissues. These organoids can mimic early stages of brain development, offering a valuable in vitro model to study both normal and disordered neurodevelopment. However, current methods of generating HBOs are often low throughput and variable in organoid differentiation and involve lengthy, labor-intensive processes, limiting their broader application in both academic and industrial research.
View Article and Find Full Text PDFHuman liver organoids (HLOs) derived from pluripotent stem cells hold potential for disease modeling and high-throughput compound screening due to their architectural and functional resemblance to human liver tissues. However, reproducible, scale-up production of HLOs for high-throughput screening (HTS) presents challenges. These include the high costs of additives and growth factors required for cell differentiation, variability in organoid size and function from batch to batch, suboptimal maturity of HLOs compared to primary hepatocytes, and low assay throughput due to excessive manual processes and the absence of assay-ready plates with HLOs.
View Article and Find Full Text PDFBackground: Patients with end-stage kidney disease (ESKD) are at high risk for coronary artery disease. We investigate the trends and outcomes of percutaneous coronary intervention (PCI) for stable ischemic heart disease (SIHD) in patients with ESKD.
Methods: We utilized the United States Renal Data System [2010-2018] to include adult patients with ESKD on dialysis for at least 3 months who underwent PCI for SIHD.
Background: This study aimed to assess the current status of critical care services in 13 districts of Bagmati Province in Nepal, with a focus on access, infrastructure, human resources, and intensive care unit (ICU) services.
Methods: A cross-sectional survey was conducted among healthcare workers employed in 87 hospitals having medical/surgical ICUs across Bagmati Province. Data were collected through structured questionnaires administered via face-to-face and telephone interviews.
Best current practice in the analysis of dynamic contrast enhanced (DCE)-MRI is to employ a voxel-by-voxel model selection from a hierarchy of nested models. This nested model selection (NMS) assumes that the observed time-trace of contrast-agent (CA) concentration within a voxel, corresponds to a singular physiologically nested model. However, admixtures of different models may exist within a voxel's CA time-trace.
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