Insertion Analysis of Putative Functional Elements in the Promoter Region of theAspergillus oryzaeTaka-amylase A Gene (amyB) Using a HeterologousAspergillus nidulans amdS-lacZFusion Gene System [PDF]
Yoji KANEMORI +4 more
openalex +1 more source
Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives
Current research of artificial intelligence (AI) in ophthalmology. ABSTRACT Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services.
She Chongyang, Tao Yong
wiley +1 more source
PampaFreq: Otimizando o EDP de Aplicações Paralelas em Processadores AMD
Mariana C. Costa +6 more
openalex +2 more sources
Second‐Order Between‐Supplier Learning
ABSTRACT Substantial empirical evidence shows that suppliers in emerging economies can enhance their technological capabilities through direct learning from technologically advanced foreign competitors. However, suppliers in emerging markets may struggle to learn directly from knowledge about competitors’ products that are not widely available on the ...
Lisha Liu, Xianwei Shi, Guangzhi Shang
wiley +1 more source
Nile Red‐loaded poly(solketal acrylate) nanoparticles enable fluorescence tracking and exhibit nontoxic profiles in retinal cells. Enhanced cellular uptake and deep retinal penetration after intravitreal injection highlight their excellent potential for targeted ocular drug delivery to the posterior segment of the eye.
Yasaman Pourdakheli Hamedani +6 more
wiley +1 more source
Early Ophthalmic Changes in Macula Does Not Correlate with Visual Function
Divya Narayanan,1 Garrick Wallstrom,2 John Rodriguez,1 Donna Welch,1 Matthew Chapin,1 Paul Arrigg,3,4 Rajkumar Patil,1 Mark Abelson1,4,5 1Ora, Inc, Andover, MA, USA; 2Statistics and Data Corporation, Tempe, AZ, USA; 3Joslin Diabetes Center, Boston, MA ...
Narayanan D +7 more
doaj
Predicting Infrared Optical Properties of Materials Using Machine Learning Interatomic Potentials
This work proposes a new fast computing framework for infrared reflectance spectra, MTP‐FIRE, based on machine learning potential, which can achieve the same accuracy as the existing first‐principles calculation, but can be two orders of magnitude faster on average.
Lianduan Zeng +8 more
wiley +1 more source
Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul +8 more
wiley +1 more source
54. Gene Therapy for Wet-AMD: Progress Report on a Phase I/II Clinical Trial [PDF]
openalex +1 more source
ABSTRACT Purpose To develop a new method for free‐running three‐dimensional (3D) extracellular volume mapping of the heart in a single scan with mid‐scan contrast injection. Methods 3D cardiac MR imaging was performed with a single scan that acquired k‐space data continuously using an inversion recovery (IR) sequence with a spoiled gradient‐echo ...
Wonil Lee +8 more
wiley +1 more source

