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CONTEXT Key Objective: Improvement of patient selection in early-phase oncology trials is a key step towards optimization of patients' care and reduction of clinical development associated costs. Knowledge Generated: We designed a machine learning model that significantly reduced by 68% the rate of screen fail among an independent cohort of 264 phase I or II cancer patients.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
