Let’s dive into the many layers of bipolar disorder: its science, its stigma, and how it intersects with creativity, genetics ...

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

People living with bipolar disorder have a shorter life expectancy compared to those without the condition. Lifestyle factors, co-occurring health conditions, and chronic mental health challenges ...

The data, which included 17 variables such as step count, very active minutes, sedentary minutes, heart rate and resting heart rate, total sleep time, sleep efficiency score, deep sleep duration ...

As the year ends, we’re reflecting on the stories and topics that meant the most to our bpHope community. Here’s the most ...

Despite distinct diagnostic criteria, schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD), show significant overlap in symptoms and manifestations. Neurocognitive deficits, ...

Vladimir Vladimirov genome-wide association studies and gene expression data to better understand the biological basis of ...