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Project Update: Deep Learning to Extract Biomarkers for the Diagnosis and Personalized Treatment of Neuropsychiatric Disorders
Mental disorders have a significant impact on people's lives. Swift recovery depends on accurate diagnosis and treatment. However, the absence of objective criteria to determine a patient's specific psychiatric condition (and the most suitable treatment) poses a challenge. Can deep learning play a role in the diagnosis and treatment of neuropsychiatric disorders?
Early November, we discussed this with prof. dr. Guido Van Wingen. Guido is a professor of Neuroimaging in Psychiatry at the Faculty of Medicine at the University of Amsterdam (AMC-UvA). He conducts research using neuroimaging techniques to investigate the underlying mechanisms of psychiatric disorders, particularly in cases of depression and obsessive-compulsive disorder. He explores how biological and psychological factors related to psychiatric vulnerability influence the brain. Additionally, he conducts research on predicting successful treatment outcomes and how it normalizes brain function.
Project Update: Follow-up Project Physicians Implement Exercise as Medicine (PIE=M)
PIE=M stands for Physicians Implement Exercise as Medicine. This project ran from September 2018 until the end of 2020.
The PIE=M project focused on the potential to provide patients with exercise advice to promote a healthier lifestyle, prevent and treat chronic diseases, facilitate recovery, and promote healthy aging. The PIE=M research was conducted by UMC Groningen and Amsterdam UMC. It was a research project subsidized by ZonMW and carried out at the departments of Rehabilitation Medicine (UMCG and Amsterdam UMC), Orthopedics (UMCG), and Oncology (Amsterdam UMC). The PIE=M project resulted in an implementation plan for prescribing Exercise as Medicine in the hospital setting, known as the "Beweegstappenplan" (see www.beweegstappenplan.nl).
iBestuur: "Has the cloud made us safer?"
The concept of cloud computing has been around for almost 30 years. This raises the question of whether the phenomenon has made the digital ecosystem on Earth safer or not. This is the central question of the research project MASCOT, which stands for 'Measuring Security in Cloud Outsourcing'.
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