Results 191 to 200 of about 288,362 (303)

“Hidden” Landscape of Prehistoric Burial Monuments: The Use of Remote Sensing in the Detection of Neolithic Long Barrows in Bohemia (Czech Republic)

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Neolithic long barrows are among the earliest monumental structures in Europe, yet in many parts of Central Europe their surface expression has been largely erased by long‐term agricultural activity. This study evaluates the potential of integrated remote sensing approaches for identifying and contextualizing long barrows and associated ...
Petr Krištuf   +5 more
wiley   +1 more source

A Global Atlas of Digital Dermatology to Map Innovation and Disparities

open access: yes
Gröger F   +8 more
europepmc   +1 more source

Ancient genomes provide evidence of demographic shift to Slavic-associated groups in Moravia. [PDF]

open access: yesGenome Biol
Schulz I   +13 more
europepmc   +1 more source

Towards the completion of the dictionary of the Flemish dialects [PDF]

open access: yes, 2010
De Tier, Veronique   +1 more
core  

Multi‐omic profiling reveals immune cell priming signature linked to lupus prognosis

open access: yesArthritis &Rheumatology, Accepted Article.
Objective Systemic lupus erythematosus (SLE) is a multi‐organ disease with widespread immune dysregulation and significant unmet clinical need. Blood‐based gene expression studies have advanced our understanding of SLE pathogenesis but may overlook critical tissue‐specific mechanisms that drive disease heterogeneity and progression.
Michael A. Smith   +23 more
wiley   +1 more source

Impact of electronic patient-reported outcomes (ePRO) presentation in pancreatic cancer tumor board discussions on cancer outcomes: the INSPIRE intervention. [PDF]

open access: yesBMC Cancer
Bourne G   +11 more
europepmc   +1 more source

Identifying systemic lupus erythematosus from serum proteomic profiles using machine learning and genetic risk stratification

open access: yesArthritis &Rheumatology, Accepted Article.
Objectives Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Lupus patients and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy