Results 171 to 180 of about 34,675 (262)

Dicer is essential for proper maturation, composition, and function in the postnatal retina. [PDF]

iScience
Kang S, Larbi D, Bruns E, Hahne K, Khodadadi-Jamayran A, Sreenivasaiah C, Carneiro ML, Andrade M, Batsuuri K, Chen S, Jager J, Viswanathan S, Clark BS, Wohl SG.   +13 more
europepmc   +1 more source

A Review of Artificial Intelligence in Ophthalmology: Key Aspects, Challenges, and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly reshaping ophthalmology because the specialty depends heavily on structured imaging, quantitative measurements, and repeatable diagnostic workflows. This review provides a clinically grounded and translationally oriented synthesis of AI in ophthalmology, covering methodological foundations ...
Partha Pratim Ray
wiley   +1 more source

Life stage-dependent RNA interference in the tropical rock lobster <i>Panulirus ornatus</i>: mechanistic insights from RNA-seq and functional studies. [PDF]

Mar Life Sci Technol
Banks TM, Glendinning S, Bhojwani A, Fitzgibbon QP, Smith GG, Ventura T.   +5 more
europepmc   +1 more source

Commonalities of platelet dysfunction in heart failure with preserved ejection fraction and underlying comorbidities

ESC Heart Failure, Volume 12, Issue 2, Page 1013-1028, April 2025.
Abstract Heart failure with preserved ejection fraction (HFpEF) is characterized by a lack of a specific targeted treatment and a complex, partially unexplored pathophysiology. Common comorbidities associated with HFpEF are hypertension, atrial fibrillation, obesity and diabetes.
Giorgia D'Italia, Blanche Schroen, Judith M.E.M. Cosemans   +2 more
wiley   +1 more source

DsRNA as pathogen-associated molecular pattern in innate immunity and multiple functions of the RNAi machinery complicate the use of RNAi in pest control. [PDF]

Front Insect Sci
Feng M, Liu J, Wang L, Swevers L.
europepmc   +1 more source

Use of artificial intelligence in magnetic resonance imaging across the epileptic patient's journey: A meta‐analysis of four clinical applications

Epilepsia, EarlyView.
Abstract Objective The application of artificial intelligence/machine learning (AI/ML) to magnetic resonance imaging (MRI) promises to enhance and support clinical decision‐making in epilepsy. However, there currently lacks an appropriate assessment of clinical utility and study rigor of current AI/ML‐driven models that are targeted toward supporting ...
Judy Chen, Ella Sahlas, Yigu Zhou, Natalie Chen, Jim Xie, Farhan Wadia, Lorenzo Caciagli, Aristides Hadjinicolaou, Alexander G. Weil, Roy W. Dudley, Dewi V. Schrader, Andrea Bernasconi, Neda Bernasconi, Boris C. Bernhardt   +13 more
wiley   +1 more source

Antagonism of RNA silencing in the yellow fever mosquito, <i>Aedes aegypti</i>, by the nsP2 protein of the prototype alphavirus. [PDF]

Proc Natl Acad Sci U S A
Gupta AK, Wiley MR, Myles KM.
europepmc   +1 more source

Fully automated three‐dimensional deep learning‐based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb, Brunno Machado de Campos, Wallace Souza Loos, Marcelo Eduardo Ramos Barbosa, Marina Koutsodontis Machado Alvim, Gabriel Chagas Lutfala Paulino, Enrico Ghizoni, Francesco Pucci, Samuel Worrell, Clarissa Lin Yassuda, Roberto Medeiros de Souza, Lara Jehi, Fernando Cendes   +12 more
wiley   +1 more source

An Improved Description of the Small RNA Landscape of the Human Fungal Pathogen Aspergillus fumigatus. [PDF]

Mol Microbiol
Pan X, Kelani AA, Schrettenbrunner L, Prabakar S, Israni B, Blango MG.   +5 more
europepmc   +1 more source

Individual‐specific resting‐state networks predict language dominance in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to reliably estimate individual‐specific resting‐state cortical networks and determine whether language network topography can predict task‐based language dominance in drug‐resistant epilepsy. Methods We utilized a multisession hierarchical Bayesian model (MS‐HBM) trained on drug‐resistant epilepsy patients ...
Mervyn Jun Rui Lim, Shaoshi Zhang, Shreya Pande, Aihuiping Xue, Ru Kong, Kareem Zaghloul, Sara Inati, B. T. Thomas Yeo   +7 more
wiley   +1 more source