Results 121 to 130 of about 16,262,576 (403)
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié +13 more
wiley +1 more source
Political ideology and moral dilemmas in public good provision. [PDF]
Hoenig LC, Pliskin R, De Dreu CKW.
europepmc +1 more source
Unraveling Public Good Games [PDF]
This paper provides experimental evidence on how players predict end game effects in a linear public good game. Our regression analysis yields a measure of the relative importance of priors and signals on subjects’ beliefs and let us conclude that, first,
María Paz Espinosa, Pablo Brañas-Garza
core
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Vaccines: A universal public good. [PDF]
Padrós Selma J.
europepmc +2 more sources
Reorganisation of government back-offices for better electronic public services - European good practices (back-office reorganisation), Volume 2: Annexes 1 to 5, commissioned by: European Commission [PDF]
Ralf Cimander +4 more
openalex +1 more source
Nash behaviour and public good [PDF]
In this note we analyse the provision of a pure public good with non constant production cost in the context of a federation of jurisdictions with two tiers of Government: the central and the local. The central government aims at welfare maximization but
Amedeo Fossati, Marcello Montefiori
core
Assessing the utility of machine learning for predicting food sufficiency: a case study in Malawi
This study explores the potential of applying machine learning (ML) methods to identify and predict areas at risk of food insufficiency using a parsimonious set of publicly available data sources.
Andrew Tomes +8 more
doaj +1 more source
Next‐generation proteomics improves lung cancer risk prediction
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source

