Biomedical informatics in neuroscience
Submission Deadline: 1 Nov 2021
Guest Editors
Department of Science and Engineering, Novel Global Community Educational Foundation, Hebersham, NSW, Australia;AFNP Med, Wien, Austria
Interests: computational biomedicine; neurodegeneration; mathematical biology; neuroinformatics
Special Issue in IMR Press journals
Department of Medical Laboratory Sciences, College of Health Sciences, and Sharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates
Interests: neurodegeneration; neurobiology; neurobiochemistry; neuropharmacology
Special Issue in IMR Press journals
Department of Pharmacy, Southeast University, Dhaka, Bangladesh,Pharmakon Neuroscience Research Network, Dhaka, Bangladesh
Interests: Alzheimer’s disease; Pharmacology; Physiology; Neuroscience
Special Issue Information
Dear Colleagues,
Despite the efforts for the management of neurological diseases, the findings of their multimodal development and affection to the patient through neurophysiologic pathways in the brain are still considered a challenging task. Even though significant progress has been made, neurodegeneration is difficult to be treated or even diagnosed in an early stage. Still, no cure has been found in disorders like Alzheimer's disease which leads scientific research towards the identification of early symptoms or alternative ways to delay the development of the disease. Thus, a lot of medical research has been done to identify biomarkers and to create effective drugs for the delaying of symptoms and lesions of the disease, using methods and techniques from scientific fields like Biomedical Informatics, Computational Biology, and Neuroinformatics etc.
Prof. Athanasios Alexiou, Associate Prof. Ghulam Md Ashraf and Dr. Md. Sahab Uddin
Guest Editors
Keywords
- Biochemistry and biophysics
- Neuroinformatics
- Biomarkers identification
- Neuroscience
- Biomedical informatics
- Computational biology
Published Papers (4)
Biological databases and tools for neurological disorders
J. Integr. Neurosci. 2022, 21(1), 41; https://doi.org/10.31083/j.jin2101041
(This article belongs to the Special Issue Biomedical informatics in neuroscience)
Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection
J. Integr. Neurosci. 2022, 21(1), 20; https://doi.org/10.31083/j.jin2101020
(This article belongs to the Special Issue Biomedical informatics in neuroscience)
Development and validation of anti-human Alpha synuclein DNA aptamer using computer modelling techniques—an in silico study
J. Integr. Neurosci. 2022, 21(1), 5; https://doi.org/10.31083/j.jin2101005
(This article belongs to the Special Issue Biomedical informatics in neuroscience)
Leucine encoding codon TTG shows an inverse relationship with GC content in genes involved in neurodegeneration with iron accumulation
J. Integr. Neurosci. 2021, 20(4), 905–918; https://doi.org/10.31083/j.jin2004092
(This article belongs to the Special Issue Biomedical informatics in neuroscience)