Psychiatric symptoms can be difficult to measure from routine clinical records. We used natural language processing to identify symptom dimensions from clinical notes and compared these measures with ...

Psychiatric drug development remains constrained by diagnostic heterogeneity, insufficient and inconsistent drug response, high placebo response rates, and the absence of validated biomarkers that can...

The Psychiatry Department at The University of Texas Southwestern Medical Center is seeking outstanding neuroscientists.

This paper synthesizes insights from a 2026 American College of Neuropsychopharmacology (ACNP) study group examining how to responsibly translate AI into clinical mental health care. Building on this ...

The Department of Neurobiology at Harvard Medical School (HMS) and the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University invite applications for a tenure tra...

Discovery AI Initiative and Departments of Biochemistry and Cell Biology, Integrative Immunobiology, Neurobiology, and Pharmacology & Cancer Biology

Emergency department healthcare workers face high levels of stress and trauma, but mental health difficulties are often underreported. Using computer vision to analyze facial expressions during interv...

Researchers are exploring how data from smartphones and wearables, such as movement, sleep, and phone use, might help detect and track depression and anxiety. This article outlines what is needed to b...

Some people are developing delusional beliefs that incorporate AI chatbots. This review proposes a framework, the “amplification spiral”, to explain how this might happen. Chatbots tend to mirror the ...

NPP—Digital Psychiatry and Neuroscience - A primer on corollary discharges: neural signals that distinguish ‘Self’ from ‘World’

This conference will bring together leading experts to discuss how neuromodulatory systems shape neuronal circuit dynamics, behavior, and computation. The program will focus on how neuromodulators suc...

We compare errors in artificial intelligence systems, such as large language models and speech recognition tools, with hallucinations and confabulations seen in psychiatry. Both can produce fluent but...

We compare errors in artificial intelligence systems, such as large language models and speech recognition tools, with hallucinations and confabulations seen in psychiatry. Both can produce fluent but...

Follow Us FaceBook Twitter YouTube LinkedIn Instagram The CIFAR Neuroscience of Consciousness Winter School is a unique, three-day event where tomorrow’s neuroscience leaders work closely […]

studies how the brain represents and uses uncertainty and she also co-founded the online summer school, Neuromatch Academy

This pilot study introduces a personalized, data-driven approach to treating depression. We use smartwatches and brief daily surveys to track a participant's lifestyle, and leverage machine learning t...

Neuropsychopharmacology - Sequence termination cues drive automated habit-like strategy via dopamine-mediated processes