
Data Science and Diagnostic Models - the What, Why and How with Michelle Wiest
From Data in Biotech by CorrDyn
April 15, 2026 · 44 min · Season 1 · Episode 3
About this episode
Michelle Wiest discusses the role of biostatistics in diagnostics and the importance of data integrity in developing diagnostic models.
This week, we're delighted to be joined by Michelle Wiest, Director of IVD Biostatistics at Freenome - a high-growth biotech company that creates tools to help prevent, detect, and treat disease. Host Ross Katz speaks with Michelle on the use of biostatistics in the field of diagnostics, what biases can corrupt diagnostic tests and how to catch them early, the different types of data sets that are being used to develop diagnostic models and how to prepare to present data to regulatory bodies such as the FDA. --- If you’re a biotech company struggling to transform your business with data, CorrDyn can help. Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today. Visit connect.corrdyn.com/biotech to learn more. --- Data in Biotech is a fortnightly podcast exploring how companies leverage data to drive innovation in life sciences.
People in this episode
Host: Ross Katz
Guest: Michelle Wiest
Topics covered
- data science
- diagnostic models
- biostatistics
- bias in diagnostics
- regulatory data presentation
Keywords
- biostatistics
- diagnostics
- data sets
- regulatory bodies
- FDA
- bias
- data presentation
Sponsors
CorrDyn
Mentioned in this episode
Organizations: Freenome, FDA
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