Transcorneal electrical stimulation restores DNA methylation changes in retinal degeneration.

Background: Retinal degeneration is a major cause of irreversible blindness. Stimulation with controlled low-level electrical fields, such as transcorneal electrical stimulation (TES), has recently been postulated as a therapeutic strategy. With promising results, there is a need for detailed molecular characterization of the therapeutic effects of TES.

Potential of ultrasound stimulation and sonogenetics in vision restoration: a narrative review.

Vision restoration presents a considerable challenge in the realm of regenerative medicine, while recent progress in ultrasound stimulation has displayed potential as a non-invasive therapeutic approach. This narrative review offers a comprehensive overview of current research on ultrasound-stimulated neuromodulation, emphasizing its potential as a treatment modality for various nerve injuries. By examining of the efficacy of different types of ultrasound stimulation in modulating peripheral and optic nerves, we can delve into their underlying molecular mechanisms.

Correction: Yaseen et al. Photo-Assisted Removal of Rhodamine B and Nile Blue Dyes from Water Using CuO-SiO Composite. 2022, , 5343.

Citation of the publication (our own previous work), Yaseen, M [...

Acute pediatric appendicitis in black and white: clinical disparities, impact and future recommendations.

Racial and ethnic disparities have long been studied in the delivery of healthcare. One such avenue is acute pediatric appendicitis, which continues to be an area of significant and continual research. Because of its routine clinical presentation and standardized management, acute pediatric appendicitis serves as an appropriate proxy for studying discrepancies in healthcare.

Harnessing hybrid deep learning approach for personalized retrieval in e-learning.

The current worldwide pandemic has significantly increased the need for online learning platforms, hence presenting difficulty in choosing appropriate course materials from the vast online educational resources due to user knowledge frameworks variations. This paper presents a novel course recommendation system called the Deep Learning-based Course Recommendation System (DLCRS). The DLCRS combines a hybrid Sequential GRU+adam optimizer with collaborative filtering techniques to offer accurate and learner-centric course suggestions.