Mubin Mustafa Kiyani, Shahid Bashir, Benish Shahzadi, Hamid Khan, Maisra Azhar Butt, Syed Ali Hussain, Turki Abualait
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Revolutionizing cross professional collaboration outcomes in TBI: emerging trends in diagnostics, personalized medicine, technological innovations and neurorehabilitation.
Traumatic brain injury (TBI) is still considered a major cause of morbidity and mortality worldwide, and its prevalence is increasing daily. TBI patients are facing difficult diagnostic, management, and rehabilitative challenges. This review article represents the most relevant recent findings in all areas of TBI concerning pathophysiology, diagnostics, therapeutics, rehabilitation approaches and neuroplasticity. In recent years, the diagnosis of TBI has improved more often due to advancements in neuroimaging, biomarkers, and artificial intelligence. Pharmacological treatments, stem cell therapy, and neuroprotective strategies are also associated with a wide range of therapeutic innovations that could open new fields of acute management. Consequently, practice has also changed, and cross professional treatments have been adopted with the aid of the latest technology for acute TBI recovery. TBI management faces multiple challenges in special populations, such as pediatric patients, elderly people, and soldiers. Personalized medicine, big data analytics, and global collaboration are emphasized as future research directions. This detailed study should serve to remind researchers and clinicians alike of the ongoing need for innovation to deliver better care pathways appropriate for TBI patients.
期刊介绍:
Brain Informatics is an international, peer-reviewed, interdisciplinary open-access journal published under the brand SpringerOpen, which provides a unique platform for researchers and practitioners to disseminate original research on computational and informatics technologies related to brain. This journal addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics. It also welcomes emerging information technologies and advanced neuro-imaging technologies, such as big data analytics and interactive knowledge discovery related to various large-scale brain studies and their applications. This journal will publish high-quality original research papers, brief reports and critical reviews in all theoretical, technological, clinical and interdisciplinary studies that make up the field of brain informatics and its applications in brain-machine intelligence, brain-inspired intelligent systems, mental health and brain disorders, etc. The scope of papers includes the following five tracks: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing