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

Abstract US Preventive Services Task Force (USPSTF) guidelines recommend single-cancer screening for Upper PCA Board 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-canc

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Numerical study on the fracture characteristics and failure mode of hard coal under coupled static and dynamic loads

It has been well accepted by mining researchers that coal tends to undergo abrupt fracture under the coupling effect of dynamic and static loads.Hence, the study of influence of coupled static and dynamic loads on coal failure behaviour is meaningful for the understanding of coal burst.In this paper, PFC modelling Course a pied - Homme - Vetements

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Implementation with ex post hidden actions

In this paper, we study implementation in settings where agents take strategic actions that influence preferences over mechanism outcomes and yet are hidden from the mechanism designer.We show that such settings can arise in entry auctions for markets, and that the Vickery-Clarke-Groves Mechanism is not guaranteed to be truthful because of strategi

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