Publications by authors named "Julia Tartaglia"

Researchers in ubiquitous computing have long promised that passive sensing will revolutionize mental health measurement by detecting individuals in a population experiencing a mental health disorder or specific symptoms. Recent work suggests that detection tools do not generalize well when trained and tested in more heterogeneous samples. In this work, we contribute a narrative review and findings from two studies with 41 mental health clinicians to understand these generalization challenges.

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There are over 10,000 mental health and wellness apps on the market. Apps offer the opportunity to increase access to mental health care. However, with many apps to choose from and an app landscape that is largely unregulated, it can be difficult to incorporate this technology into clinical practice.

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The app evaluation framework of the American Psychiatric Association (APA) has emerged as an adaptable tool for those seeking to navigate the ever-growing space of mental health apps. The authors describe a meeting convened in December 2019 to refine the APA framework. The expert panel comprised 16 individuals across health care fields, with representation from psychiatry, psychology, social work, nursing, clinical informatics, peer support specialists, and individuals with lived mental health experience.

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This article was migrated. The article was marked as recommended. As innovation transforms the healthcare industry, medical institutions are increasingly incorporating business skills and concepts into their curricula.

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Activation of brown and beige fat can reduce obesity and improve glucose homeostasis through nonshivering thermogenesis. Whether brown or beige fat also secretes paracrine or endocrine factors to promote and amplify adaptive thermogenesis is not fully explored. Here we identify Slit2, a 180 kDa member of the Slit extracellular protein family, as a PRDM16-regulated secreted factor from beige fat cells.

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