Results 251 to 260 of about 1,170,821 (329)

Consequences and Mechanisms of Noise‐Induced Cochlear Synaptopathy and Hidden Hearing Loss, With Focuses on Signal Perception in Noise and Temporal Processing

Advanced Science, EarlyView.
Noise‐induced synaptopathy (NIS) is largely reversible due to self‐repair. NIS and noise‐induced hidden hearing loss are two concepts with similarities and differences. The major hearing deficits in NIHHL are temporal processing disorders. The translation of animal data in NIS studies to humans is hindered by many factors.
Hui Wang, Steven J Aiken, Jian Wang
wiley   +1 more source

Long‐Lasting Auditory and Vestibular Recovery Following Gene Replacement Therapy in a Novel Usher Syndrome Type 1c Mouse Model

Advanced Science, EarlyView.
This study shows that gene replacement therapy using the AAV2/Anc80L65 virus can successfully restore hearing and balance in Ush1c knockout mice. The treatment leads to lasting improvements in both auditory and vestibular functions, highlighting its potential as a therapeutic approach for genetic hearing loss and vestibular disorders in humans ...
Weinan Du, Jun Huang, Aizhen Zhang, Fangfang Zhao, Tianwen Chen, Quinn M. McDermott, Tony Zheng, Haibo Wang, Rongli Zhang, Xiaolin Zhang, Jerome Allison, Hong Zhu, Wu Zhou, Qing Yin Zheng   +13 more
wiley   +1 more source

Leveraging Datathons to Teach AI in Undergraduate Medical Education: Case Study.

JMIR Med Educ
Yao MS, Huang L, Leventhal E, Sun C, Stephen SJ, Liou L.   +5 more
europepmc   +1 more source

NINFA: Non-commercial interface for neuro-feedback acquisitions. [PDF]

Neurophotonics
Iester C, Banzhaf C, Eldably A, Schopp B, Fallgatter AJ, Bonzano L, Bove M, Ehlis AC, Barth B.   +8 more
europepmc   +1 more source

Presbycusis: Pathology, Signal Pathways, and Therapeutic Strategy

Advanced Science, EarlyView.
In ARHL, the stria vascularis, acting as a cochlear battery, gradually loses its ability to maintain the endocochlear potential, leading to impaired hair cell function and progressive hearing loss. Single‐cell sequencing reveals age‐related cellular changes in the cochlea, providing insights into the underlying mechanisms of aging and potential ...
Xiaoxu Zhao, Tian Shen, Shengda Cao, Ziyi Liu, Wendu Pang, Meixuan Li, Jingjing Liu, Wen Li, Yunhao Wu, Chengcheng Liu, Ming Xia, Xiaolong Fu, Cheng Cheng   +12 more
wiley   +1 more source

The fundamentals of eye tracking part 4: Tools for conducting an eye tracking study. [PDF]

Behav Res Methods
Niehorster DC, Nyström M, Hessels RS, Andersson R, Benjamins JS, Hansen DW, Hooge ITC.   +6 more
europepmc   +1 more source

The Reconstruction of Peripheral Auditory Circuit: Recent Advances and Future Challenges

Advanced Science, EarlyView.
This paper summarizes the potential of biomaterials, stem cells, and gene editing technologies in the regeneration of inner ear hair cells, spiral ganglion neurons, and inner ear organoids. Challenges and potential developments are discussed and explored.
Zhe Li, Ying Zhang, Zhenyu Xiao, Jieyu Qi   +3 more
wiley   +1 more source

Medication versus globus pallidus internus deep brain stimulation in Parkinson's disease with deep learning video analysis of finger tapping. [PDF]

Sci Rep
Lee GY, Kwon HY, Park K, Jo S, Lee J, Lee S, Lee JG, Kim N, Chung SJ.   +8 more
europepmc   +1 more source

Development and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease

Advanced Science, EarlyView.
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao, Lin Zeng, Jiaren Wang, Chang Hong, Ziyong Zhang, Chengkai Wu, Hao Cui, Yan Li, Ruining Li, Shengxing Liang, Qijie Deng, Wenyuan Li, Xuejing Zou, Pengcheng Ma, Li Liu   +14 more
wiley   +1 more source

A multi-device and multi-operator dataset from mobile network coverage on Android devices. [PDF]

Data Brief
Silva V, Tavares G, Freitas C, Maklouf F, Ivanov C, Barreto R, de Freitas R.   +6 more
europepmc   +1 more source