In the field of medical image analysis within deep learning (DL), the importance of
employing advanced DL techniques cannot be overstated. DL has achieved impressive …

Nowadays, machine learning (ML) has attained a high level of achievement in many
contexts. Considering the significance of ML in medical and bioinformatics owing to its …

Deep brain regions such as hippocampus, insula, and amygdala are involved in
neuropsychiatric disorders, including chronic insomnia and depression. Our recent reports …

Intelligent health monitoring systems are becoming more important and popular as
technology advances. Nowadays, online services are replacing physical infrastructure in …

The goal of this study was to create a molecular imprinting-based sensor on MWCNTs
modified electrode for the selective determination of Δ 9-tetrahydrocannabinol (Δ 9-THC) as …

This research was done to develop an electrochemical sensor for the determination of the
antidepressant drug sertraline hydrochloride (SH) using carboxylated graphene oxide …

4-Dimensional Printing (4DP) is the latest concept in the pharmacy and biomedical segment
with enormous potential in dosage from personalization and medication designing, which …

The central nervous system relies heavily on neurotransmitters (NTMs), and NTM
imbalances have been linked to a wide range of neurological conditions. Thus, the …

One of common endovascular technique for treatment of MCA aneurysm is using coiling gel
for limiting of blood stream. In this work, computational fluid dynamic is used for the …

Background: Transcranial alternating current stimulation (TACS) is a non-invasive method of
brain stimulation that is hypothesised to alter cortical excitability and brain electrical activity …