Results 181 to 190 of about 17,433 (282)

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Dental Calculus Formation Rate: The Role of Salivary Proteome and Metaproteome. [PDF]

J Clin Periodontol
Cai W, Dubreuil N, Abu Nada L, Zhou WBS, Basiri T, Hadad A, Charde P, Ducret M, Tamimi F.   +8 more
europepmc   +1 more source

Ultra-high performance liquid chromatography high-resolution mass spectrometry for metabolomic analysis of dental calculus from Duke Alessandro Farnese and Maria D'Aviz. [PDF]

Sci Rep, 2023
Riboni N, Bianchi F, Mattarozzi M, Peracchia M, Meleti M, Careri M.   +5 more
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Modifiable early life risk factors for dental calculus in dogs: a retrospective cross-sectional study in Finland. [PDF]

BMC Vet Res
Hemida MBM, Holm S, Eklundh M, Hielm-Björkman A.   +3 more
europepmc   +1 more source

More than what we eat: Investigating an alternative pathway for intact starch granules in dental calculus using Experimental Archaeology. [PDF]

Quat Int, 2023
Delaney S, Alexander M, Radini A.
europepmc   +1 more source

Smart Denture with Embedded Thin‐Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam, Yong Kwon Chae, Seoung‐Jin Hong, Younggen Lee, Dongwook Yang, Byunggi Kim, Sang Wook Kang, Young‐Jin Kim   +7 more
wiley   +1 more source

How does the Kids SIPsmartER program impact the sugar‐sweetened beverage intake of students: An investigation beyond total treatment effect in randomized controlled trial

American Journal of Agricultural Economics, EarlyView.
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin, Wen You, Annie Reid, Kathleen Porter, Brittany Kirkpatrick, Jamie Zoellner   +5 more
wiley   +1 more source

Putting dental calculus under the microscope

Dental calculus. This small, hard, inconspicuous substance that forms on the teeth of humans and animals contains a surprising amount of information about our lives.
Bartholdy, B.P.
core  

Phenotype Expansion of Malan Syndrome: New Cases and a Review of the Literature

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Malan syndrome is an ultra‐rare overgrowth syndrome caused by pathogenic variants or deletions in nuclear factor one X (NFIX) located at 19p13.2. Here, we report a comprehensive literature review and phenotyping of known patients with Malan syndrome and present a novel cohort of eight patients.
Alex F. Nisbet, Sylvie A. Adams, Zoe S. Katz, Christal G. Delagrammatikas, Kosuke Izumi, Winifred Sigal, Kim Ventarola, Elaine H. Zackai, Julia E. Reid, Grant T. Liu, Jennifer M. Kalish   +10 more
wiley   +1 more source