Digital phenotyping in bipolar disorder: Using longitudinal Fitbit data and personalized machine learning to predict mood symptomatology
Background: Effective treatment of bipolar disorder (BD) requires prompt response to mood episodes.
Background: Effective treatment of bipolar disorder (BD) requires prompt response to mood episodes.
Both academic researchers and political pundits have warned about the cumulative effects of partisan media over time.
Rapid advances in artificial intelligence (AI), including large language models (LLMs) with abilities that rival those of human experts on a wide array of tasks, are reshaping how people make importan
In the World Bank Enterprise Survey, the share of entrepreneurs who are women first rises and then falls with national income, which reverses the well-known U-shaped relationship between female labor
We measure whether expert patients – those trained as physicians and nurses – have fewer emergency department visits and the reasons for these differences.
We examine changes in the spatial distribution of good jobs across US commuting zones over 1980-2000 and 2000-2021.
Creating and sustaining safe, healthy urban environments requires active collaboration between residents and local governments.
Elon Musk and his team are endangering Americans in many ways.
An enormous body of literature argues that recommendation algorithms drive political polarization by creating "filter bubbles" and "rabbit holes." Using four experiments with nearly 9,000 participants
Various factors influence why some countries are more open to immigration than others. Policy is only one of them.
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