Results 161 to 170 of about 4,538 (283)

Genetics in Heterotaxy: A Case Series and Literature Review on DNAH9, PKD1L1, MMP21, and GDF1. [PDF]

Clin Genet
Ho TBT, Coudert A, Do TTH, Le TTT, Gauthier M, Dubucs C, Mortreux J, Monin P, Chatron N, Devillard F, Coutton C, Satre V, Harbuz R, Dufour W, Januel L, Celse T, Paris C, Consortium A, Tran LTM, Trinh HT, Jouk PS, Truong BL, Nguyen TKN, Thevenon J.   +23 more
europepmc   +1 more source

Integration of Liquid Handling Robotics, Turbidimetry, and Machine Learning Toward Inverse Design of Lower Critical Solution Temperature Polymer Formulations

Advanced Intelligent Systems, EarlyView.
An integrated OT‐2/plate reader platform automates LCST cloud point measurement of NIPAM‐co‐DMAEMA copolymers across high‐dimensional formulation spaces. Machine learning trained on the resulting high‐throughput datasets achieves R2 up to 0.96 and enables inverse design of polymer formulations to target transition temperatures with <1% error.
Lachlan Alexander, Vianna F. Jafari, Tanja Junkers   +2 more
wiley   +1 more source

From birth to operating room: Successful biventricular repair of heterotaxy and complex congenital heart disease with nutmeg lung. [PDF]

JTCVS Tech
Price N, Turner D, Moore R, Hejazi Y, Heydarian H, Hashemi S, Morales DLS.   +6 more
europepmc   +1 more source

Machine Learning‐Enabled Field Prediction and Inverse Design of Functionally Graded Materials Inspired by Tendon–Bone Enthesis

Advanced Intelligent Systems, EarlyView.
A mechanics‐informed machine learning framework enables mechanics field prediction and inverse design of tendon–bone enthesis‐inspired functionally graded materials that reduce stress concentration and failure risk. By coupling multiscale finite element modeling, convolutional field prediction, and kernel‐based inverse design, the study uncovers ...
Zhangke Yang, Zhaoxu Meng
wiley   +1 more source

Heterotaxy syndrome with complex single-ventricle physiology and left-sided Bochdalek hernia: Multisystem characterization by cardiothoracic CT. [PDF]

Radiol Case Rep
Kanji AM, Salingwa L, Aziz T, Moledina S.   +3 more
europepmc   +1 more source

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Advanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit, Yizhou Qian, Yi‐Chien Chen, Ziyang Shen, Po‐Sheng Chiu, Youngeon Lee, Cheng‐Han Ke, Chih‐Lung Lin, Shin‐Tson Wu   +8 more
wiley   +1 more source

Functional genomics in <i>Xenopus</i> identifies ARHGAP10 as a congenital heart disease and ciliopathy gene. [PDF]

iScience
Sochacka E, Hinson ST, Shook DR, DeSimone DW, Kulkarni SS.   +4 more
europepmc   +1 more source

AI‐Powered 3D Liver Fat Volumetric Map for Clinical‐Grade Steatosis Assessment From Cross‐Modality MRI

Advanced Intelligent Systems, EarlyView.
An automated, AI‐powered system generates a 3D liver fat volumetric map for precise fat fraction quantification from MRI. By overcoming manual analysis constraints, it provides high‐fidelity spatial characterization of steatosis. This graphical abstract highlights a clinically robust framework that enables efficient, anatomically informed assessment ...
Bincan Deng, Yingyun Gong, Xiao Wang, Xinxi Wang, Dingding Chen, Chen Xuan, Qing Xu, Hongwen Zhou, Yuwen Cui, Manuel Doblare   +9 more
wiley   +1 more source

Aggregate variant calling using short reads enables population and disease studies for paralogous genes. [PDF]

HGG Adv
Prodanov T, Byun SY, Bansal V.
europepmc   +1 more source

Inverse Design of Electromagnetic‐Induced Transparency Metasurface Using Conditional Generative Adversarial Network

Advanced Intelligent Systems, EarlyView.
This work develops a CGAN‐based metasurface inverse design method. It adopts an integrated workflow of pixel‐based graphical modeling, simulation, and GAF transform for automatic, batch metasurface dataset construction. With a U‐Net architecture, the CGAN generates high‐resolution, high‐fidelity metasurface structures. EIT verification achieves over 90%
Guirong Feng, Jiaze Xu, Yabo Lu, Zixiang Wu, Ziheng Zhou, Yueming Gao, Zhizhang (David) Chen   +6 more
wiley   +1 more source