Digital biomarkers and their use in psychiatric research and care

BMC Psychiatry welcomes submissions to our Collection on Digital biomarkers and their use in psychiatric care. Digital biomarkers have emerged as a promising avenue for revolutionizing psychiatric care, offering new opportunities for remote monitoring, personalized interventions, and preventive strategies. This Collection gathers research exploring the use of digital devices and data analytics, including speech and text analysis, heart rate variability, and online activity as potential digital biomarkers in psychiatry. We invite submissions that investigate the clinical validation, ethical considerations, and regulatory aspects of utilizing digital biomarkers in mental health settings. It is important for us to advance our collective understanding of digital biomarkers in psychiatric care to harness the potential of technology for improving mental health outcomes. Recent advances in this area have demonstrated the feasibility of using digital biomarkers for early detection of psychiatric symptoms, monitoring treatment response, and providing personalized interventions. Furthermore, research has highlighted the role of artificial intelligence and machine learning in analyzing digital biomarkers to enhance diagnostic accuracy and treatment planning. Topics of interest include, but are not limited to: - Digital biomarkers for specific psychiatric disorders (e.g., depression, mood disorders) - Digital biomarkers for early intervention in psychiatric disorders - Digital biomarkers for predicting treatment response - Clinical validation of digital biomarkers - Ethical and regulatory considerations - Personalized and preventive care using digital biomarkers - Artificial intelligence and machine learning in digital biomarker analysis - Protocols for integrating digital biomarkers into psychiatric care This Collection supports and amplifies research related to SDG 3: Good Health and Wellbeing.