OncoHost, a technology company, announced the publication of a study in Clinical Lung Cancer demonstrating the impact of its PROphetNSCLC test on first-line treatment decisions for metastatic non-small cell lung cancer patients.
A mutli-center observational study demonstrated the clinical validity and utility of the PROphet non-small cell lung cancer test, a plasma proteome machine learning-based decision-support tool designed to identify patient subsets benefiting from PD-1/PD-L1 inhibitor-based therapies.
I recently attended a dinner party where guests lamented the use of generative AI in schools. They asked questions like, “Will kids stop learning and plug all their essay prompts into ChatGPT?”
Using a novel proteogenomic strategy and a variety of machine learning tools, investigators from the Icahn School of Medicine at Mount Sinai, Fred Hutchinson Cancer Center, and University of Arkansas for Medical Sciences Winthrop P. Rockefeller Cancer Institute have identified a 64-protein signature that may predict a subset of ovarian cancer patients who are unlikely to respond to chemotherapy.
