A MULTI-CANCER EARLY DETECTION BLOOD TEST USING MACHINE LEARNING DETECTS EARLY-STAGE CANCERS LACKING USPSTF-RECOMMENDED SCREENING

A multi-cancer early detection blood test using machine learning detects early-stage cancers lacking USPSTF-recommended screening

A multi-cancer early detection blood test using machine learning detects early-stage cancers lacking USPSTF-recommended screening

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Abstract US Preventive Services Task Force (USPSTF) guidelines recommend remtavares.com single-cancer screening for select cancers (e.g., breast, cervical, colorectal, lung).Advances in genome sequencing and machine learning have facilitated the development of blood-based multi-cancer early detection (MCED) tests intended to complement single-cancer screening.

MCED tests can interrogate circulating cell-free DNA to detect a shared cancer signal across multiple tumor types.We report real-world experience with here an MCED test that detected cancer signals in three individuals subsequently diagnosed with cancers of the ovary, kidney, and head/neck that lack USPSTF-recommended screening.These cases illustrate the potential of MCED tests to detect early-stage cancers amenable to cure.

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