GenomeWeb: AI Models Unlocking Molecular, Omics Data Encoded in Traditional Pathology Samples

News
Written By ViewsML

Our CEO, Kenneth To, was interviewed by GenomeWeb’s Adam Bonislawski for an August 2026 article exploring how artificial intelligence is bringing new power to traditional pathology, allowing scientists to extract a wide variety of molecular and proteomic information from conventional histology stains.

We’re proud to be included in this in-depth look at the rapidly evolving industry landscape, and to discuss how our virtual biomarker stains use AI to produce the virtual equivalent of immunohistochemistry stains for proteins of interest.

Read the full interview: AI Models Unlocking Molecular, Omics Data Encoded in Traditional Pathology Samples | GenomeWeb

ViewsML
Previous

Virtual Biomarker Staining Unlocks the Lung Tumor Microenvironment
Next

ViewsML’s AI-Powered Virtual Biomarker Staining Research to be Presented at American Association for Cancer Research Drug Discovery and Development Conference 2026 (AACR D3)