Dr Amrie Grammer @ Tom Tom Festival Oct 22,2020

Dr Amrie Grammer @ Tom Tom Festival Oct 22,2020

Machine Learning Approaches to Predict Lupus Disease Activity from Gene Expression Data

The integration of gene expression data to predict systemic lupus erythematosus (SLE) disease activity is a significant challenge because of the high degree of heterogeneity among patients and study cohorts, especially those collected on different microarray platforms. Here we deployed machine learning approaches to integrate gene expression data from three SLE data sets and used it to classify patients as having active or inactive disease as characterized by standard clinical composite outcome measures. Both raw whole blood gene expression data and informative gene modules generated by Weighted Gene Co-expression Network Analysis from purified leukocyte populations were employed with various classification algorithms. Classifiers were evaluated by 10-fold cross-validation across three combined data sets or by training and testing in independent data sets, the latter of which amplified the effects of technical variation. A random forest classifier achieved a peak classification accuracy of 83 percent under 10-fold cross-validation, but its performance could be severely affected by technical variation among data sets. The use of gene modules rather than raw gene expression was more robust, achieving classification accuracies of approximately 70 percent regardless of how the training and testing sets were formed. Fine-tuning the algorithms and parameter sets may generate sufficient accuracy to be informative as a standalone estimate of disease activity.

Eight Innovative, Virginia Life Science Startups To Know. AMPEL Makes The List!

Eight Innovative, Virginia Life Science Startups to Know. AMPEL Makes the List!

At BioBuzz, we’re dedicated to bringing you interesting and important stories that emerge from the thriving life sciences ecosystem that is the BioHealth Capital Region (BHCR). 

The heart of the BHCR biohealth cluster is Maryland, with its vast network of government research agencies, the strong university system, and a deep network of established, emerging, and startup life science companies across a wide range of fields, including cell and gene therapy, advanced biomanufacturing, phage therapy, medical devices and more traditional biotech and pharma organizations. That’s not even to mention the remarkable efforts of myriad Maryland vaccine companies to develop the first approved, safe, and efficacious SARS-CoV-2 vaccine.

Maryland is certainly the most mature market within the wider BHCR, and the one we tend to cover the most, especially recently, but it isn’t the only growing and thriving BHCR sector. 

In addition to exciting developments in Washington, DC, Charlottesville, Virginia is quietly emerging as an exciting hub for life science companies and promising startups that have spun out of the University of Virginia (UVA). UVA and CVilleBioHub, which was founded in 2016 by biotech industry leaders to support the growing biohealth ecosystem in and around Charlottesville, Virginia, have been catalysts for growth in what they call the CVille ecosystem. CVilleBioHub’s mission is to double the size of the biohealth cluster it serves by 2030 through strong engagement, deft resourcing, valuable programming, and grassroots advocacy.

It seems the collaboration between UVA and CVilleBioHub is working. There are a host of exciting, innovative startup companies that call Charlottesville home. We’re excited to highlight these nine innovative Charlottesville, Virginia startup companies and look forward to telling their stories well into the future.  

AMPEL BioSolutions Highlights Audrey Ogendi’s Participation in Virginia Bio Life Science Workforce Summit

AMPEL BioSolutions had the privilege of being a part of Virginia’s first Life Sciences Workforce Summit which was held in Richmond on June 21, 2018. The event, sponsored by Virginia BIO, was held at the Virginia Museum of Fine Arts and was attended by about 125 representatives from academia, business and economic development organizations. Nearly every university, four-year college and community college in the Commonwealth attended the meeting, as well as all of the major life science businesses and several smaller ones.

AMPEL was represented by Audrey Ogendi, Clinical Operations Associate, who presented on a panel of young professionals who spoke about their experiences entering the work force and how well they felt they were prepared.

AMPEL Co-Founder and COO, Amrie Grammer said, “AMPEL promotes a culture that places great value on the talent development of all of our employees and Audrey is a great example of how dedication to continuing education can lead into a successful career in the life sciences industry. We were pleased to have her participate in the Virginia Bio Life Science Workforce Summit as a strong representative for AMPEL and our culture of promoting continuing education and workforce development.”

Audrey, who was recently admitted into Michigan State School of Medicine, is a Gates Millennium Scholar and a 2017 Masters in Public Health graduate of the University of Virginia, where she also received her 2015 BA in Women, Gender, and Sexuality.  She is proficient in Swahili, Spanish and Kisii.  During her undergraduate years, Audrey did independent research with Dr. Linda Columbus following the kinetics of thermophilic organisms and characterizing their coupling enzymes.  Additionally, she received funding from the Jefferson Center for Global Health for her plan to travel to Limpopo, South Africa to develop an early childhood development program with culturally accepted assessment tools.  She presented her results at the Consortium of Universities for Global Health in 2015.  Audrey is proficient in Statistical Analysis Software (SAS) and joined AMPEL in 2017 to assist with the creation of an online learning tool to teach lupus patients and the clinicians that care for them about the details of small, proof-of-concept clinical trials testing the efficacy of drugs repositioned for lupus.

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