Coins tools for automated NiMH data archive submissions

Grant funding agencies are continuing to move toward their own standardized database platforms in the pursuit of harmonizing data and reproducing results. The National Institute of Mental Health Data Archive (NDA) is one such mission. This initiative serves as a repository for data collected by investigators who have been funded by the NIH/NIMH and have committed to sharing their data with the NDA. 

Preparing data captured by assessment and imaging collection and management systems (e.g. XNAT, Qualtrics, and REDcap) for submission can be challenging. NDA data submissions are performed through standalone GUI-only applications, limiting automation possibilities. The Collaborative Informatics and Neuroimaging Suite (COINS), a web-based data collection and management platform that employs integrated assessment and imaging collection, has developed tools to assist in assessment and imaging submissions to NDA repositories. 

Senescence, prodromal dementia, electrophysiological biomarkers

Dementia in the elderly is described by symptoms of attentional deficits, memory impairments, executive dysfunction and cognitive decline. In several major neuro degenerative disorders is occurred dementia. Fronto temporal dementia and hippocampal sclerosis of aging, Lewy body dementia, non-Alzheimer's form as vascular dementia and Alzheimer’s disease, which vary between brain regions like the hippocampus, entorhinal cortex, medial temporal lobe, inferior parietal cortex and frontal cortex, may explain a magnitude of deficits in different cognitive domains. Preservation of cognitive function is important for maintenance of the quality of life of older adults.

Chemotherapy medication errors nursing education and review of literatures

Cancer chemotherapy has a narrow therapeutic window, and patients with cancer often cannot physically tolerate mistakes. Errors in treating patients also have been associated with damages and legal problems such as loss of reputation and confidence in the doctor and hospital, financial loss in law courts, and most importantly risks for patients. Prevention of error is a matter of remaining vigilant, having systems in place to expose mistakes, and having a culture among co-workers that error prevention is a priority.

Computational methods towards image-based biomarkers and beyond

Over the last decades the use of artificial intelligence techniques for biomedical data analysis has been incredibly popular and has opened numerous opportunities to improve medical diagnosis. Especially in the recent years, there has been a drastic development of large-scale databases (genomics, proteomics, imaging), which has given the opportunity to apply deep learning techniques. Particularly in computer vision, convolutional neural networks have rapidly become the tool of choice for the analysis of images.