An Interesting Case of Recurrent Ophthalmoplegic Neuropathy.

Ophthalmoplegic migraine was previously defined as migraine associated with oculomotor palsy. The condition has recently been termed recurrent painful ophthalmoplegic neuropathy (RPON). There is a paucity in the literature reporting the incidence and treatment strategies for RPON.

Marine macroalgae Chaetomorpha aerea as a dietary supplement: Optimizing immunity and resistance to Edwardsiella tarda in tilapia (Oreochromis mossambicus).

The intensification of aquaculture has led to a rise in fish infections, necessitating the search for alternative antibiotics. In this context, our study investigated the effects of dietary supplementation with Chaetomorpha aerea, a filamentous green algae, on the immune health and resistance to infections in tilapia (Oreochromis mossambicus). Diets containing varying concentrations of C.

Impact of Chaetomorpha aerea-enriched diet on growth, feed utilization, and haemato-immunological responses in Clarias batrachus challenged with Aeromonas hydrophila.

The bacteria Aeromonas hydrophila, which causes motile Aeromonas septicemia (MAS), is dangerous to aquaculture because it affects the fish's well-being and production. As the aquaculture industry seeks sustainable and effective methods to enhance fish immunity and growth, natural supplements such as marine algae have gained attention. This study explored the potential benefits of incorporating the green marine algae Chaetomorpha aerea into the fish diet, focusing on disease resistance, growth, feed utilization, and hematological and immunological responses.

Improving Efficiency of Brain Tumor Classification Models Using Pruning Techniques.

Background: This research investigates the impact of pruning on reducing the computational complexity of a five-layered Convolutional Neural Network (CNN) designed for classifying MRI brain tumors. The study focuses on enhancing the efficiency of the model by removing less important weights and neurons through pruning.

Objective: This research aims to analyze the impact of pruning on the computational complexity of a CNN for MRI brain tumor classification, identifying optimal pruning percentages to balance reduced complexity with acceptable classification performance.

Ethical Data Collection for Medical Image Analysis: a Structured Approach.

Due to advancements in technology such as data science and artificial intelligence, healthcare research has gained momentum and is generating new findings and predictions on abnormalities leading to the diagnosis of diseases or disorders in human beings. On one hand, the extensive application of data science to healthcare research is progressing faster, while on the other hand, the ethical concerns and adjoining risks and legal hurdles those data scientists may face in the future slow down the progression of healthcare research. Simply put, the application of data science to ethically guided healthcare research appears to be a dream come true.