Product: R&D
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Evaluation of two clinically focused targeted NGS systems for liquid biopsy testing shows a high level of concordance in resulting actionable mutations
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Exact Shapley values for explaining complex machine learning based molecular tests of checkpoint inhibitors: potential utility for patients, physicians, and translational research
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Predictions of outcomes and benefit of immune checkpoint inhibitor treatment in non-small cell lung cancer require information on both tumor and host biology
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Validation of the Primary Immune Response (PIR) test in advanced non-small cell lung cancer (NSCLC): blinded retrospective analyses from the POPLAR and OAK trials
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Predicting prognosis in COVID-19 patients using machine learning and readily available clinical data
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Potential role of serum proteome in predicting immune-related adverse events from immunotherapy in non-small cell lung cancer
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Utilizing Serum Proteome to Understand Response and Resistance to Immune Checkpoint Inhibitors in Advanced Non-Small Cell Lung Cancer
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Design and Characterization of a Novel Blood Collection and Transportation Device for Proteomic Applications
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A proposal for score assignment to characterize biological processes from mass spectral analysis of serum
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A Serum Protein Classifier Identifying Patients with Advanced Non-Small Cell Lung Cancer Who Derive Clinical Benefit from Treatment with Immune Checkpoint Inhibitors