Results 151 to 160 of about 4,538 (283)

<i>Wnt</i> and <i>Nodal</i> asymmetries stratify mouse laterality phenotypes in the absence of node flow. [PDF]

Sci Adv
Ochandorena-Saa A, Perthame E, Oulerich Z, Chamolly A, Blisnick T, Lokmer J, Rouillon C, Bastin P, Meilhac SM.   +8 more
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Global research trends in heterotaxy syndrome with congenital heart defects: a 20-year bibliometric analysis (2006-2025). [PDF]

Transl Pediatr
Zhao M, Cong X, Liu X, Pan J, Hou Z, Wang F, Wang L.   +6 more
europepmc   +1 more source

A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images

Advanced Intelligent Discovery, EarlyView.
A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski, Chenyan Wang, Xinrui Wang, Huaxiao Yang, Zhao Qin, Zhen Ma   +5 more
wiley   +1 more source

Risk Factors for Adverse Outcome in Fetuses With Heterotaxy Syndrome and Congenital Heart Disease. [PDF]

Prenat Diagn
Szwast A, Savla JJ, Penney C, Sharma P, Rychik J.   +4 more
europepmc   +1 more source

U‐Net‐Based Prediction of Concealed Volume Loss in AZ31 From Optical Corrosion Imprints and As‐Exposed Surface Topography

Advanced Intelligent Discovery, EarlyView.
How much material loss is concealed beneath a layer of corrosion products? This proof‐of‐concept study demonstrates how concealed volume loss is inferred from the optical appearance and as‐exposed surface topography of AZ31 corrosion imprints. By predicting postcleaning depth maps, a multimodal U‐Net model estimates hidden volume loss without chromic ...
Lars Dammann, Ci Song, Bahram Vaghefinazari, Tim Würger, Anna Lisitsyna, Shadi Albarqouni, Mikhail L. Zheludkevich, Sviatlana V. Lamaka, Christian Feiler   +8 more
wiley   +1 more source

Atypical Prenatal Phenotypic Spectrum: A Case Series of Four Unique Presentations With Genetic and Diagnostic Insights. [PDF]

Clin Genet
Rathod RS, Kolar G, Vavilala S, Redishetty S, Pawar S, Reddy P, Shah A, Nerakh G.   +7 more
europepmc   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

Heterotaxy syndrome.

JBR-BTR : organe de la Societe royale belge de radiologie (SRBR) = orgaan van de Koninklijke Belgische Vereniging voor Radiologie (KBVR), 2004
van de Perre, S., Vanhoenacker, F.M., Petré, C., van Doorn, J., de Schepper, A.M.   +4 more
openaire   +2 more sources

Quantifying Structure‐Dependent Rigidity of 3D DNA Origami Boxes

Advanced Intelligent Systems, EarlyView.
We investigate the mechanical stability of a hollow 3D DNA origami box during assembly using liquid AFM imaging and finite element simulations. As structural completeness increases from flat sheets through intermediate assemblies to a closed box, rigidity improves.
Judith Zubia‐Aranburu, Reza Zadegan, Jens Vinge Nygaard, Jørgen Kjems, Ramesh Subramani, Mingdong Dong   +5 more
wiley   +1 more source