Results 221 to 230 of about 167,359 (326)

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

Digital versus conventional impression accuracy for complete-arch implant rehabilitation: An <i>in vitro</i> study. [PDF]

Bioinformation
Sai K, Kurian BP, Manual L, Aby SS, Anand SS, Najeeb FM, Nandakumar V.   +6 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

Digital Workflow and a New Hybrid Impression Technique in Anterior Restorations Using the BOPT Approach. [PDF]

Dent J (Basel)
Vázquez-Natividad I, Pecci-Lloret MR, Rodríguez-Lozano FJ.   +2 more
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

35 Individuals With HUWE1‐Related Neurodevelopmental Disorder and Suggested Clinical Evaluations

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT HUWE1 (HECT, UBA, and WWE Domain Containing E3 Ubiquitin Protein Ligase1, OMIM 300697), located at Xp11.22, encodes a ubiquitin ligase that is highly conserved across species. Genetic variants in HUWE1 described in multiple independent studies cause X‐linked intellectual disability, including in the patients identified by Juberg, Marsidi, and ...
Mindy H. Li, Deziree L. Coleman, Kelsey Hogan, Danielle Luz, Lindsay Bhandari, Newell Belnap, Tiffany Busa, Charles Coutton, Klaus Dieterich, Svetlana Gorokhova, Clara Hildebrandt, Rachel Logan, Milena Mariani, Manuela Morleo, Vincenzo Nigro, John Pappas, Rachel Rabin, Kelly Schoch, Angelo Selicorni, Vandana Shashi, Rebecca Spillmann, Jennifer Sullivan, Charlotte Tardy, Samantha A. Schrier Vergano, Brock Grill, Kristin Baranano   +25 more
wiley   +1 more source

The effect of clip material on the retention of implant retained mandibular overdenture: randomized clinical study. [PDF]

BDJ Open
Mohamed SM, Sayed AM.
europepmc   +1 more source

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

Marginal Fit Evaluation of Zirconia Copings Based on Conventional and Digital Impressions Using a Tooth Section Microscopic Examination Technique. [PDF]

Dent J (Basel)
Schulze M, Ottl P, Warkentin M.
europepmc   +1 more source

Streamlining Diagnosis of Bardet–Biedl Syndrome: New Diagnostic Algorithm With Updated Criteria

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Considerable advances have been made in our understanding of Bardet–Biedl syndrome (BBS), particularly in its core clinical features and molecular genetics, warranting an update to the existing diagnostic criteria framework. Using a rigorous, evidence‐based, and consensus‐driven process, a multidisciplinary group of international experts and ...
Jeremy J. Pomeroy, Jesse Richards, Brooke R. Sweeney, Seema Kumar, Katie E. Queen, Joshua Zaritsky, Carl H. Cramer, Elias I. Traboulsi, Brittni A. Scruggs, Erica E. Davis, Ekaterina Keifer, Emma McGibbon, Timothy Ogden, Bendert De Graaf, Tonia Hymers, Elizabeth Forsythe, Philip Beales   +16 more
wiley   +1 more source