Intra-Cellular Therapies, Inc. (NASDAQ: ITCI) has submitted a supplemental new drug application (SNDA) to the U.S. Food and ...

The drug has shown strong results in phase 3 clinical trials, which are the basis for the new application to the FDA.

A study reveals that combining fitness tracker data with machine learning algorithms can effectively predict mood episodes in ...

Intra-Cellular submitted its application to the FDA for Caplyta’s approval in major depressive disorder, potentially opening ...

Mental health experts say it's clear there are not enough beds and enough trained professionals in the mental health ...

Even though 1 in 5 Americans is estimated to suffer from mental health illness, talk about mental health in the rural West remains muted. I’d like to ...

For those with mental illness, being declared disabled is bittersweet. It facilitates disability payments, but it often leads to a self-view as defective.

Researchers have used everyday Fitbit data to train a machine learning algorithm to accurately predict mood episodes ...

Medically reviewed by Aleesha Grier, PsyD Bipolar disorders cause intense mood swings, changes in energy levels, and ...

eHarvard T H Chan, School of Public Health, Harvard University, Boston, MA, USA ...

Data from fitness trackers can detect mood episodes in individuals with bipolar disorder with up to 89.1% accuracy for mania ...

With the help of AI, a technique known as digital phenotyping aims to correlate digital behaviors with mental disorders.