Futurists have anticipated that novel autonomous technologies, embedded with machine
learning (ML), will substantially influence healthcare. ML is focused on making predictions …

Mental health researchers and clinicians have long sought answers to the question “What
works for whom?” The goal of precision medicine is to provide evidence-based answers to …

Bringing precision to the understanding and treatment of mental disorders requires
instruments for studying clinically relevant individual differences. One promising approach is …

Depressed patients often do not respond to the first antidepressant prescribed, resulting in
sequential trials of different medications. Personalised medicine offers a means of reducing …

Background Between 30 and 50% of patients with major depressive disorder (MDD) do not
respond sufficiently to antidepressant regimens. The conventional pharmacological …

Antidepressants must be taken for weeks before response can be assessed with many
patients not responding to the first medication prescribed. This often results in long delays …

Mental disorders account for around one-third of disability worldwide and cause enormous
personal and societal burden. Current pharmacotherapies and nonpharmacotherapies do …

Background Measuring objective resource-use quantities is important for generating valid
cost estimates in economic evaluations. In the absence of acknowledged guidelines …

Background A RCT of a novel intervention to detect antidepressant medication response
(the PReDicT Test) took place in five European countries, accompanied by a nested study of …

Rationale The impact of neuroscience-based approaches for psychiatry on pragmatic
clinical decision-making has been limited. Although neuroscience has provided insights into …