Multimodal smartphone sensor data provide rich insights into real-world behavioural patterns associated with anxiety and depression symptoms. We propose that variability in daily routines across life aspects may act as a personalised digital marker,…
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Preventing mental disorders is important to avoiding clinical conditions. This study evaluated the efficacy of internet-based indicated prevention for anxiety and depressive disorders. In a three-arm randomized controlled trial, 566 adults with subthreshold anxiety…
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Patients with diabetes are at increased risk of comorbid depression or anxiety, complicating their management. This study evaluated the performance of large language models (LLMs) in detecting these symptoms from secure patient messages. We…
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Dr Cynthia Bullock, director, healthy lives at Innovate UK (Credit: Cynthia Bullock)
More than £3.6 million has been awarded to 17 extended reality (XR) projects to create immersive digital mental health therapeutics to tackle…
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Background: Mental health concerns are prevalent among university students, with financial stress further compounding these issues. While cognitive-behavioral therapy (CBT) is effective for these conditions, its delivery through artificial intelligence (AI) chatbots represents a…
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Personalising psychotherapies for depression may enhance their efficacy. We conducted a randomised controlled trial of smartphone cognitive-behavioural therapy (CBT) among 4,469 adults in Japan (RESiLIENT trial, UMIN-CTR UMIN000047124). Participants received one of nine CBT…
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Depression is a prevalent and costly mental disorder across all ages. Artificial intelligence (AI)-assisted physiological and behavioral information—such as electroencephalography (EEG), eye movement, video or audio monitoring, and gait analysis—offers a promising tool for…
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Background: Health care workers (HCWs) are at risk of experiencing psychological distress, particularly during the COVID-19 pandemic. Psychological self-monitoring apps may contribute to reducing symptoms of depression, anxiety, and trauma exposure by enhancing emotional…
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This study harnesses machine learning to dissect the complex socioeconomic determinants of depression risk among older adults across five international cohorts (HRS, ELSA, SHARE, CHARLS, MHAS). Evaluating six predictive algorithms, XGBoost demonstrated superior performance…
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Brett Talbot, Co-founder and CCO, Videra Health
In a world where strength is often measured by stoicism, millions of men are suffering in silence. The statistics around male suicide paint a sobering picture: men die…
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