Background: Gratitude interventions are used to cultivate a sense of gratitude for life and others. There have been mixed results of the efficacy of gratitude interventions’ effect on psychological well-being with a variety of…
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Background: Depression and chronic pain are commonly comorbid, mutually reinforcing, and debilitating. Emerging approaches to mobile behavioral healthcare (mHealth) promise to improve outcomes for patients with comorbid depression and chronic pain by integrating with…
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Obstructive sleep apnea (OSA) is a serious, chronic sleep-related breathing disease that impacts an estimated 80 million people in the United States and nearly 1 billion globally. Untreated OSA carries profound health and quality-of-life…
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The Ministry of Food and Drug Safety in South Korea has approved the first depression diagnosis support AI software-as-a-medical device in the country. Developed by local AI company Acryl, the product called ACRYL-D01 uses AI…
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What You Should Know:
– Vitalic announced the launch of its innovative geriatric behavioral health platform, designed specifically to address the often overlooked mental health needs of older adults.
– Launching with $4M in seed funding…
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About 25% of adults over the age of 65 battle mental health challenges, including depression and anxiety, and 63% do not receive adequate care.
A new startup aims to move the needle on this stat….
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The current healthcare systems in the U.S. often compartmentalize health conditions, treating physical and mental health as distinct entities. This dissociative approach has led to a limited perspective on diabetes treatment focused largely on…
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While circadian disruption is recognized as a potential driver of depression, its real-world impact is poorly understood. A critical step to addressing this is the noninvasive collection of physiological time-series data outside laboratory settings…
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A feasibility study in Northumbria has found that digital health interventions show promise in helping patients manage symptoms and easing pressure on NHS services.
Northumbria Primary Care enrolled 36 patients in a 12-week study to…
Researchers from South Korea have built machine learning-based models that can predict mood episodes using only sleep and circadian rhythm data from wearable devices. The team comprised researchers from the Institute for Basic Sciences (IBS),…
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