Defining a Multi-Omic, AI-Enabled Stool Screening Paradigm for Colorectal Cancer: A Consensus Framework for Clinical Translation.

Arturo Loaiza-Bonilla^1,2, Yan Leyfman³, Viviana Cortiana⁴, Rhys Crawford⁵, Shivani Modi⁶

¹Division of Hematology and Oncology, Department of Medicine, St. Luke's Cancer Center, St. Luke's University Health Network, Bethlehem, PA 18015, USA.

²Massive Bio, Boca Raton, FL 33487, USA.

³Meyer Cancer Center, New York Presbyterian Hospital, New York, NY 10021, USA.

⁴University of Bologna, 40126 Bologna, Italy.

⁵Tulane University of Louisiana, New Orleans, LA 70118, USA.

⁶Thomas Jefferson University, Philadelphia, PA 19107, USA.

PubMed PMC DOI PDF

Abstract

Colorectal cancer (CRC) develops through both conventional adenoma-carcinoma and serrated neoplasia pathways, yet noninvasive screening still under-detects the advanced precursor lesions that enable true cancer prevention. Stool-based screening reduces CRC mortality, but its preventive impact remains constrained by limited detection of advanced precancerous lesions (APLs), including advanced adeno…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.