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Matthew Valko, MS, is Director of Data Science at Holmusk. He has deep experience in data science and health care, specifically in retrospective study methodology and deep learning computer vision methodologies. Matthew earned his master’s degree in biostatistics from University of Massachusetts Amherst and is currently a PhD candidate in computational science and informatics at George Mason University.
With so many types of real-world data available, it can be difficult to select the source that will meet your needs—that is, the data that will help you accurately and efficiently answer your research questions.
This blog post is a continuation of our Data Differentiators series, in which we’re sharing how the NeuroBlu Database stands out from other EHR-derived real-world data sources. For previous installments of the series, see here and here.
This blog post is a continuation of our Data Differentiators series, in which we’re sharing how the NeuroBlu Database stands out from other EHR-derived real-world data sources. For previous installments of the series, see here.
