What if the principles of precision medicine already at work in fields such as cardiology, oncology, and infectious disease—where biomarkers are combined with clinical features to tailor treatments to specific patients—were applied to psychiatry?

It's a bold path forward, and one that Precision Psychiatry presents exhaustively. More than three dozen experts in areas of expertise ranging from neuroimaging, neurocognition, and pharmacotherapy to behavioral science and machine learning illustrate the push to develop biomarkers and algorithms that will identify subtypes of patients that may be underserved by conventional psychiatric therapies.

Throughout the book, numerous case examples apply the principles of precision psychiatry to a spectrum of mood and anxiety disorders, as well as schizophrenia.

Whether they are educators, trainees, or clinicians, readers will find the latest research in precise classification, treatment planning, and early identification in these pages, and a vision of a future where a one-size-fits-all approach gives way to tailored treatment based on integrating the scientific foundations of psychiatry with recent advances in the neurosciences, data sciences, and technology.