
Traditional manual pathology is prone to subjectivity and observer variability that can negatively affect diagnoses and drug development trials. Before we dive into how we use PyTorch to improve our diagnosis workflow, let us first lay out the traditional analog Pathology workflow without machine learning.
How Traditional Biopharma Works
There are many avenues that biopharma companies take to discover novel therapeutics or diagnostics. One of those avenues relies heavily on the analysis of pathology slides to answer a variety of questions: how does a particular cellular communication pathway work? Can a specific disease state be linked to the presence or lack of a particular protein? Why did a particular drug in a clinical trial work for some patients but not others? Might there be an association between patient outcomes and a novel biomarker?