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The Digitalization of Neurology
Over the past 20 years Medicine in general, and Neurology in specific, has become increasingly digitized. Increasingly, Neurology has made a transition from qualitative to quantitative methods. The conversion of neurological data from free text to a computable format has made the application of digital tools to neurological diagnosis and prognosis a reality. This Research Topic in Frontiers in Digital Health will highlight how the digitization of data has revolutionized Neurology. Themes covered will include natural language processing, ontologies, phenotyping, big data, bio-banks, machine learning, graph theory, network analysis, computational models, electronic health records, telemetry, and teleneurology.
New frontiers in the neuropsychopharmacology of mental illness
In recent years, mental illnesses have become recognized as a huge emotional and financial burden to the individual, their relatives and society at large. Stress-related and mood disorders as well as psychoactive substance abuse are among the disorders associated with most disability in high income countries. Suicide, which is often attributed to some underlying mental disorders, is a leading cause of death among teenagers and young adults. At the same time, mental disorders pose some of the toughest challenges in neuroscience research. There are many different categories of mental disorder as defined and classified by the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) and th...
