A Machine Learning Model to Predict Risk for Hepatocellular Carcinoma in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease.

Background And Aims: Hepatocellular carcinoma (HCC) incidence is increasing and correlated with metabolic dysfunction-associated steatotic liver disease (MASLD; formerly nonalcoholic fatty liver disease), even in patients without advanced liver fibrosis who are more likely to be diagnosed with advanced disease stages and shorter survival time, and less likely to receive a liver transplant. Machine learning (ML) tools can characterize large datasets and help develop predictive models that can calculate individual HCC risk and guide selective screening and risk mitigation strategies.

Methods: Tableau and KNIME Analytics were used for descriptive analytics and ML tasks.

Regeneration of Capto Core 700 resin through high throughput and laboratory scale studies and impact on production of a SARS-CoV-2 vaccine candidate.

During the development of a SARS-CoV-2 vaccine candidate, at the height of the COVID-19 pandemic, raw materials shortages, including chromatography resins, necessitated the determination of a cleaning in place (CIP) strategy for a multimodal core-shell resin both rapidly and efficiently. Here, the deployment of high throughput (HT) techniques to screen CIP conditions for cleaning Capto Core 700 resin exposed to clarified cell culture harvest (CCCH) of a SARS-CoV-2 vaccine candidate produced in Vero adherent cell culture are described. The best performing conditions, comprised of 30% n-propanol and ≥0.

Defining a sample preparation workflow for advanced virus detection and understanding sensitivity by next-generation sequencing.

The application of next-generation sequencing (also known as deep sequencing or massively parallel sequencing) for adventitious agent detection is an evolving field that is steadily gaining acceptance in the biopharmaceutical industry. In order for this technology to be successfully applied, a robust method that can isolate viral nucleic acids from a variety of biological samples (such as host cell substrates, cell-free culture fluids, viral vaccine harvests, and animal-derived raw materials) must be established by demonstrating recovery of model virus spikes. In this report, we implement the sample preparation workflow developed by Feng et.

Kinetic magnetic resonance imaging of the cervical spine: a review of the literature.

Study Design Literature review. Objective The purpose of this study is to compile and review the body of literature related to kinetic magnetic resonance imaging (kMRI) of the cervical spine. Methods A review of literature related to kMRI was performed using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.

Prevalence and motion characteristics of degenerative cervical spondylolisthesis in the symptomatic adult.

Study Design: Retrospective analysis of kinetic magnetic resonance images.

Objective: To define the prevalence of degenerative cervical spondylolisthesis in symptomatic patients and to analyze the motion characteristics and influence on the spinal canal at the affected level.

Summary Of Background Data: When compared with lumbar spondylolisthesis, there are few studies evaluating cervical spondylolisthesis, and the prevalence and motion characteristics of cervical spondylolisthesis are not well defined.

Rapid automation of a cell-based assay using a modular approach: case study of a flow-based Varicella Zoster Virus infectivity assay.

Vaccine manufacturing requires constant analytical monitoring to ensure reliable quality and a consistent safety profile of the final product. Concentration and bioactivity of active components of the vaccine are key attributes routinely evaluated throughout the manufacturing cycle and for product release and dosage. In the case of live attenuated virus vaccines, bioactivity is traditionally measured in vitro by infection of susceptible cells with the vaccine followed by quantification of virus replication, cytopathology or expression of viral markers.

A robust approach for the quantitation of viral concentration in an adenoviral vector-based human immunodeficiency virus vaccine by real-time quantitative polymerase chain reaction.

A real-time quantitative polymerase chain reaction (PCR)-based method was developed to measure the concentration of recombinant adenoviral vector genomes in purified virus bulks and final container samples of monovalent and multivalent human immunodeficiency virus (HIV) adenoviral vector vaccine candidates. This method, referred to as the genome quantitation assay (GQA), was optimized through a rigorous approach for evaluating PCR detection chemistries, designing a robust assay format, and establishing a properly calibrated reference standard. In addition, the use of a simplified lysis procedure, automated liquid transfer system, and parallel-line data analysis contribute to an accurate, precise, reliable, and high-throughput assay procedure that can be used for process monitoring, final formulation, and release of vaccine products.