Miaomiao Guo, PhD, Hebei University of Technology of China, China
Iram Khan, PhD, University of Petroleum and Energy Studies (UPES), India
BMC Neurology is now welcoming submissions to a new Collection focused on the latest trends and challenges in neuroengineering applications, encompassing a wide array of topics such as brain-computer interfaces, implantable devices, and neural coding.
Miaomiao Guo, PhD, Hebei University of Technology of China, China
Dr Miaomiao Guo received BS and MS degrees in biomedical engineering from Hebei University of Technology of China in 2009 and 2012, respectively. She furthered her education at Johns Hopkins University, engaging in Joint Education Programs from January 2014 to September 2015. She received a PhD in electrical engineering from Hebei University of Technology, China, in 2016. She is currently working as an Associate Professor in Hebei University of Technology of China. Her research interests are in neuroregulatory techniques and their application in AD, brain-computer interface and its application in rehabilitation, and complex dynamics of brain networks and their implications for cognitive function. She has successfully led and completed a number of national and provincial scientific research projects in the field of neuroengineering and has authored more than 30 publications.
Iram Khan, PhD, University of Petroleum and Energy Studies (UPES), IndiaDr Iram Khan, having a PhD from Jamia Hamdard, New Delhi, India, has worked on projects funded by ICMR as a Senior Research Fellow. She has also worked in a Lab-cum project at the Indian Institute of Technology Roorkee. She graduated in Pharmacy (B. Pharm) and was declared a Gold Medallist of the State University. She completed her Master's in Quality Assurance (M. Pharm) and was declared a batch topper. She distinguished herself by submitting research on nano-micro formulations such as nanofibers, spanlastics, nanoparticles, nanosuspension based on synthetics, biomaterials (polymer and biopolymer), semisynthetic, and biopolymer in the form of nanofiber, complex nanoformulation (chelation), and hydrogel/block polymer (nanoparticle, fiber) for site-specific drug (small molecule to macromolecular) delivery. She developed new preventive and therapeutic measures against human maladies such as brain tumors, anti-depressants, osteoarthritis, hypertension, COVID-19, and stroke. She has received research funding from ICMR and AICTE as well as travel grants from DST-SERB, CSIR, and WCN. She was awarded by Jamia Hamdard for High Impact Research Publication as well as Best Poster Presentation. She was also a Moderator at the 8th International Conference on Central Nervous System held at Dubai (December 2019). She is also a recipient of award for excellence in academics.
BMC Neurology is pleased to welcome submissions to a new Collection focused on neuroengineering. Recent advancements in neuroengineering have led to breakthroughs in brain-computer interfaces, implantable devices, and soft bioelectronics, which are enhancing our ability to treat neurological disorders and improve the quality of life for patients. As neuroengineering continues to evolve, it raises intriguing questions about the ethical implications of such technologies and the potential for transformative applications in both clinical and non-clinical settings.
The advancement of neuroengineering applications lies in their potential to address challenges, such as paralysis, neurodegenerative diseases, and mental health disorders. Solutions such as deep brain stimulation and spinal cord stimulation have already shown promise in clinical trials, providing relief to patients who previously had limited options. Ongoing research into neural coding and advanced prosthetics is paving the way for more seamless integration of technology with human physiology, allowing for improved functional outcomes and autonomy for individuals with disabilities.
Continued research includes the development of smart neural implants that can adapt in real-time to the brain's activity, enhancing therapeutic efficacy as well as personalized neuroengineering solutions tailored to individual patients, potentially revolutionizing rehabilitation and treatment strategies. As this field progresses, the integration of artificial intelligence with neuroengineering could further enhance our understanding of complex neural processes leading to more effective interventions.
Topics of interest to this Collection include, but are not limited to:
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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Trends and challenges in neuroengineering applications" from the dropdown menu.
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