Mentally ill avatars
To teach medical students, scientists have created avatars that feature typical symptoms of different mental disorders as well as psychiatric and psychotherapeutic treatment situations.
Search for: schizophrenia
Assessing mental illnesses through digital phenotyping
Digital phenotyping and machine learning have emerged as promising tools for monitoring patients with psychosis spectrum illnesses.
Early detection of bipolar disorder with AI-based tool
Researchers have created a machine learning model that helps identify bipolar disorder at earlier stages.
Are digital trackers for mental health fit for purpose?
Digital tracking of people with mental health conditions has the power to transform medical diagnostics and treatment, but its claims need careful scrutiny.
Using AI to track pandemic’s impact on mental health
Researchers have shown that they can measure those effects of the Corona pandemic on mental health by analyzing the language that people use to express their anxiety online.
Network medicine makes drug repurposing effective
Artificial intelligence can increase the effectiveness of drug repositioning or repurposing research.
Machine learning finds ‘sound’ words predict psychosis
A machine learning method discovered a clue in people’s language predictive of the emergence of psychosis — the frequent use of words associated with sound.
Can video games improve the health of elderly with schizophrenia?
A scientist aims to lower the toll co-occurring disorders like heart disease or diabetes have on older people with schizophrenia and improve their functioning by getting them up and moving.
Parkinson’s: Sensors track dopamine in the brain
MIT neuroscientists have devised a way to measure dopamine in the brain. Tiny probes could be useful for monitoring patients with Parkinson’s and other diseases.