Completion of massive open online course improved knowledge about traumatic brain injury globally
Global Impact of Online Learning The expansion of online learning platforms has transformed education on a global scale, facilitating access […]
Using natural language processing to explore differences in healthcare professionals’ language on Functional Neurological Disorder: a comparative topic and sentiment analysis study
Study Overview This research investigates the language used by healthcare professionals when discussing Functional Neurological Disorder (FND), a condition characterized
Cognitive impairment and altered structural connectivity after mild traumatic brain injury: A longitudinal study based on generalized q-sampling imaging
Cognitive Impairment Assessment The assessment of cognitive impairment following mild traumatic brain injury (mTBI) is critical in understanding the full
Wearable technology to characterize and treat mild traumatic brain injury subtypes: Study protocol for a randomized controlled trial on biofeedback-based precision rehabilitation (SuBTyPE)
Intervention Design The study implements a structured intervention protocol aimed at enhancing recovery in individuals with mild traumatic brain injury
Mapping HRV in sports science: from monitoring to machine learning
Importance of HRV in Sports Science Heart Rate Variability (HRV) is a critical metric in sports science, serving as a
Mapping HRV in sports science: from monitoring to machine learning Read Post »
Biomarkers and clinical rules for the management of mild traumatic brain injury: a narrative review
Biomarkers in Mild Traumatic Brain Injury Biomarkers play a crucial role in the understanding and management of mild traumatic brain
Hybrid deep learning models for fake news detection: case study on Arabic and English languages
Study Overview The research focuses on the increasing challenge posed by fake news in the digital age, particularly examining its
Hybrid deep learning models for fake news detection: case study on Arabic and English languages
Study Overview This study investigates the effectiveness of hybrid deep learning models in detecting fake news across Arabic and English
The role of surveillance MRI scans in patients with sporadic cerebral cavernous malformations
Role of Surveillance MRI Surveillance MRI plays a pivotal role in the management of patients diagnosed with sporadic cerebral cavernous
Hybrid deep learning models for fake news detection: case study on Arabic and English languages
Study Overview The investigation focuses on the development and evaluation of hybrid deep learning models specifically designed for the detection