Results 171 to 180 of about 1,470,052 (295)

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

<i>POGZ</i> variants in neurodevelopmental delay: a case series on phenotype-genotype correlation. [PDF]

Transl Pediatr
Huang H, Yang C, Ma J, Li H, Li S.
europepmc   +1 more source

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

Advanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source

The effect of two speech and language approaches on speech problems in people with Parkinson's disease: the PD COMM RCT.

Health Technol Assess
Sackley CM, Rick C, Brady MC, Burton C, Jowett S, Patel S, Woolley R, Masterson-Algar P, Nicoll A, Smith CH, Abdali Z, Ives N, Beaton G, Dickson S, Ottridge R, Nankervis H, Clarke CE, PD COMM Collaborative Group.   +17 more
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Response to `Speech problems and speech delay: possible underdiagnosis of selective mutism`

The Turkish Journal of Pediatrics, 2019
Pınar Zengin Akkuş, Tuba Çelen Yoldaş, Gökçe Kurtipek, Elif Nursel Özmert   +3 more
doaj  

Self-Experienced Difficulties in Communicative Participation in Children With Speech, Language and Communication Needs-A Concept Elicitation Study. [PDF]

Int J Lang Commun Disord
Alons E, Berndsen-van Swaaij B, Terwee C, Gerrits E, Luinge M, Ewijk LV.   +5 more
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Letter to the editor: Speech problems and speech delay: possible underdiagnosis of selective mutism

The Turkish Journal of Pediatrics, 2019
Chaya Rodrigues Pereira, Judith B M-Ensink, Maretha V De-Jonge, Els Wippo, Ramón J L-Lindauer, Elisabeth Utens   +5 more
doaj   +1 more source

Outcomes of Voice Therapy in Behavioral Voice Disorders: A Scoping Review-Part A. [PDF]

J Voice
Ribeiro VV, Paula KM, Gomes DÂDV, Batista KS, Viana YB, Batista DJ, Silva ACFD, Lima GM, Lima-Filho LMA, Stan JHV, Lopes LW.   +10 more
europepmc   +1 more source