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

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

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 ...

Tulisa Contostavlos has left I'm A Celebrity... Get Me Out of Here! fans speechless with a surprising family revelation.

Leila Nabulsi, PhD, a postdoctoral researcher in computational neuroscience at the Keck School of Medicine of USC's Mark and Mary Stevens Neuroimaging and Informatics Institute (Stevens INI) has ...

A study from the University of Balamand in Lebanon supported Mukhiya's claim, finding that the romanticization of conditions ...

Seasonal affective disorder is more than just the “winter blues,” according to licensed psychologist Dr. Megan Spencer with ...

She is also investigating how medication—such as type, dosage, and duration—are linked to white matter changes. Ultimately, compiling such details about brain changes in bipolar disorder could deepen ...

Ian Tighe had his life turned upside down following the London bombings on July 7 2005 and Since that day, Ian has worked ...

Using artificial intelligence, researchers at Stanford now have uncovered complex variants throughout the human genome that ...

Understanding bipolar disorder goes beyond its diagnostic checklist to the everyday symptoms that shape each individual’s experience. Getty Images Bipolar ...