Results 161 to 170 of about 4,355,838 (283)

Unsupervised phenotyping of the periodontal architecture through high‐dimensional clustering of electronic health records: A multicenter study

open access: yesJournal of Periodontology, EarlyView.
Abstract Background To identify novel periodontal phenotypes using unsupervised machine learning on a large‐scale, multicenter cohort, specifically characterizing disease patterns based on the “periodontal architecture” of localized structural failures (tooth mobility and molar furcation defects) rather than global severity averages alone. Methods This
Georgios S. Chatzopoulos, Larry F. Wolff
wiley   +1 more source

Sensory and chemical profiles of bread derived from the novel semi‐ and wholegrain flour enrichment of Triticum aestivum L. old genotypes with organic stinging nettle

open access: yesJSFA reports, Volume 5, Issue 3, Page 104-112, March 2025.
Abstract Background Bread made from refined Triticum aestivum L. flour, a staple food in large parts of the world, is considered a nutrient security risk. Strategies used to enhance the nutritional and functional properties of wheat‐derived food products include the use of semi‐ or wholegrain flour, old genotypes, and enrichment through fortification ...
Ilaria Marotti   +3 more
wiley   +1 more source

Dyslexics Exhibit an Orthographic, Not a Phonological Deficit in Lexical Decision. [PDF]

open access: yesLang Cogn Neurosci
Luke SG   +5 more
europepmc   +1 more source

Sensory profiling of South Korean grape wines: a comparison of fast profiling methods and evaluation environments

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND The South Korean wine market has rapidly expanded in recent years; however, the sensory characteristics of domestically produced red wines remain largely unexplored. This study aims to profile the sensory attributes of South Korean red wines and compare the performance of two rapid profiling methods – check‐all‐that‐apply (CATA) and
Yeonjoo Yeo   +5 more
wiley   +1 more source

From ACR O‐RADS 2022 to Explainable Deep Learning

open access: yesJournal of Ultrasound in Medicine, EarlyView.
Objectives The 2022 update of the Ovarian‐Adnexal Reporting and Data System (O‐RADS) improves risk stratification of adnexal lesions; however, radiologist interpretation remains subject to inter‐observer variability and conservative diagnostic thresholds.
Ali Abbasian Ardakani   +11 more
wiley   +1 more source

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