Upcoming Special Issues
Neuro-Informatics is one of the most attractive research topics for many generations of Scientists, Engineers, Practitioners, Physicians, others due to its profound importance in healthcare and in our lives, as well. Significant driving forces behind of such research topic are, human curiosity, the BRAIN Project in USA with a very large funding budget, the exponential evolution of the IT (or Computational Informatics) and Nano-Tech the last two decades, which have inspired and motivated many researchers around the globe to contribute with their research to the “last frontier (the brain)”.
The main goal for this special issue is to motivate researchers and scientists to contribute to Neuro-Ιnformatics and associated fields with state of the art methodologies and devices that may lead to new discoveries for diseases, deficiencies and early prognosis.
In the majority of medical conditions common therapeutic approaches are usually effective in only a small percentage of the patient population. It has become apparent that in order to improve the response to therapy and long term prognosis, treatment must be specifically tailored to the disease and the patient. Precision medicine is an attempt to maximize effectiveness by taking into account individual variability in clinical presentation, medical history, genes, environment, and lifestyle.
The purpose of this special issue is to report the latest advances in the field of integrated precision medicine technologies to further enable, drive and accelerate the development, translation, and application of precision medicine. Topics for this special issue include, but are not limited to: Bioinformatics, Imaging Informatics, Sensor Informatics, and Medical Informatics and Public Health Informatics.
In the era of Industry4.0, deep convergence of automation technologies, biomedical engineering, and health informatics is reshaping the research landscape towards the rapid development of Health Engineering, an emerging interdisciplinary field for the predictive, preventive, precise and personalized medicine. This has offered an unpresented opportunity for solving the challenges caused by the aging of population.
This special issue will focus on the cross disciplinary approaches, solutions, and initiatives for aging population enabled by the convergence of automation technologies, biomedical engineering and health informatics. The application scenarios can cover single or multiple scenarios of health engineering such as primary care, preventive care, predictive technologies, hospitalization, home care, and occupational health.
Invasive and in-situ malignant melanoma together comprise one of the most rapidly increasing cancers in the world. Invasive melanoma alone has an estimated incidence of 87,110 and of 9,730 deaths in the United States in 2017. Early diagnosis is critical, as melanoma can be effectively treated with simple excision if detected early. The goals of this special issue are to summarize the state-of-the-art in both the computerized analysis of skin lesion images, as well as image acquisition technologies, providing future directions for this exciting subfield of medical image analysis. Topics of interest include, but are not limited to: novel and emerging imaging technologies, image enhancement, image registration, image segmentation, feature extraction, image classification, and hardware systems. The intended audience includes researchers and practicing clinicians, who are increasingly using digital analytic tools.
Advancing health informatics is a grand challenge for engineering in the 21st century as identified by the National Academy of Engineering. Managing and improving human health and curing complex diseases will require novel and creative informatics methods and solutions to accelerate scientific discovery, translate discoveries into successful treatments, re-engineer care practices and infrastructure for personalized, precision and preventive medicine.
This special issue will focus on enabling technologies of computing, databases, devices, imaging, sensors, and systems that optimize the acquisition, transmission, processing, monitoring, storage, retrieval, modeling, simulation, analysis, visualization and interaction of vast volumes and different modalities of biomedical data and related social, behavior, environmental, and geographical information.