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Background: The internet is a key source of health information, but the quality of content from popular search engines varies, posing challenges for users-especially those with low health or digital health literacy. To address this, the "tala-med" search engine was developed in 2020 to provide access to high-quality, evidence-based content. It prioritizes German health websites based on trustworthiness, recency, user-friendliness, and comprehensibility, offering category-based filters while ensuring privacy by avoiding data collection and advertisements.

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Urban parks are the primary places where urban residents reconnect with natural environments. Numerous studies have shown that natural landscape features benefit human mental health and promote perceived restoration. However, few studies have explored the extent to which natural landscape features in urban parks can mitigate or compensate for the negative effects of artificial landscape features on emotions and restoration.

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Artificial intelligence (AI) has been increasingly used in delivering mental healthcare worldwide. Within this context, the traditional role of mental health nurses has been changed and challenged by AI-powered cutting-edge technologies emerging in clinical practice. The aim of this integrative review is to identify and synthesise the evidence of AI-based applications with relevance for, and potential to enhance, mental health nursing practice.

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Objective: Regenerative therapy using stem cells to treat cerebral infarction is currently in the research phase. However, this method is costly. It also faces other significant challenges, including optimization of timing, delivery methods, and dosage.

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Speak and you shall predict: evidence that speech at initial cocaine abstinence is a biomarker of long-term drug use behavior.

Biol Psychiatry

January 2025

Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York City, NY, 10029; Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York City, NY, 10029. Electronic address:

Background: Valid scalable biomarkers for predicting longitudinal clinical outcomes in psychiatric research are crucial for optimizing intervention and prevention efforts. Here we recorded spontaneous speech from initially abstinent individuals with cocaine use disorder (iCUD) for use in predicting drug use outcomes.

Methods: At baseline, 88 iCUD provided 5-minute speech samples describing the positive consequences of quitting drug use and negative consequences of using drugs.

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