Peer-Reviewed Publication
NPJ Precis Oncol2026;10(1)January 30, 2026Journal Article
A unified framework for pre-screening and screening tools in oncology clinical trials.
Denis Horgan1,2, Joseph N Paulson3,4, Arturo Loaiza-Bonilla5,6, Christer Svedman7, Umberto Malapelle8, Frédérique Penault-Llorca9,10, Hadi Mohamad Abu Rahsheed11, Paul Hofman12, Stan Kachnowski13, Daniel Schneider14, Vivek Subbiah15
1European Alliance for Personalised Medicine, Brussels, Belgium.
2Department of Molecular and Cellular Engineering, Jacob Institute of Biotechnology and Bioengineering, Faculty of Engineering and Technology, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, India.
3Yale University, New Haven, CT, USA.
4Exelixis, Inc., Alameda, CA, USA.
5Massive Bio, Boca Raton, FL, USA. arturolb@massivebio.com.
6St. Luke's University Health Network / Lewis Katz School of Medicine at Temple University, Bethlehem, PA, USA. arturolb@massivebio.com.
7N-Power Medicine, Redwood City, CA, USA.
8University Federico II of Naples, Naples, Italy.
9Centre Jean Perrin, Clermont-Ferrand cédex, France.
10Université d'Auvergne, Clermont-Ferrand, France.
11Professional Development Department, Qatar Cancer Society, Doha, Qatar.
12IHU RespirERA, FHU OncoAge, Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, University Côte d'Azur, Nice, France.
13HITLAB, Healthcare Innovation & Technology Lab, Columbia University, New York, NY, USA.
14Johnson and Johnson, Raritan, NY, USA.
15Sarah Cannon Research Institute, Nashville, TN, USA.
Abstract
Clinical trial enrollment in oncology remains limited by increasingly complex eligibility criteria, biomarker stratification, and fragmented clinical data, contributing to prolonged recruitment timelines and low participation rates. This review examines contemporary pre-screening and screening approaches, spanning manual workflows, health-system-embedded digital tools, and emerging artificial inte…
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