Latest Posts
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Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
The systematic review and meta-analysis found that wearable AI systems demonstrate promising performance in detecting and predicting depression. However, substantial variability exists among algorithms and devices, thereby indicating that performance can vary significantly. What this means is that disparities across different algorithms and devices were identified, suggesting that certain demographic groups may be underrepresented or…
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Helicobacter Pylori Associated Depression among Patients Presenting with Epigastric Pain
Helicobacter pylori infection is an extremely prevalent infection that has been connected not only to a number of illnesses such as stomach cancer and peptic ulcer disease. H. pylori has also been linked to depression but the mechanisms behind this connection are still poorly understood. A research study by Mohamed and colleagues aimed to better explore this…
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Depression among people with dyspepsia and H. pylori infection: A community based cross-sectional study in Ethiopia
A 2022 community-based study in southwest Ethiopia explored potential links between Helicobacter pylori infection, dyspepsia, and depression in residents aged 13 years and older. Among the 871 participants – most of whom were married, had…
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Digital health tools for the passive monitoring of depression: a systematic review of methods
This systematic review examines studies linking passive data from smartphones and wearables to depression, identifying key methodological flaws and threats to reproducibility. It highlights biases such as representation, measurement, and evaluation bias, stemming from small,…
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Rapamycin Attenuates Anxiety and Depressive Behavior Induced by Helicobacter pylori in Association with Reduced Circulating Levels of Ghrelin
In this experimental study, researchers investigated how H. pylori infection influences depression-like behavior and certain biological markers in mice, focusing especially on the hormone ghrelin. Mice infected with the bacteria showed more anxiety- and depression-like…
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Bias Discovery in Machine Learning Models for Mental Health
This article examined how AI can unintentionally reproduce social and demographic biases when applied to mental health prediction. Using benzodiazepine prescriptions as a proxy for conditions such as depression and anxiety, a study analyzed machine learning models trained on patient data to identify systematic disparities. It found that women are more frequently predicted to receive such treatments, reflecting gender bias, while the models perform less accurately for minority ethnic groups, indicating representation and evaluation bias. The AI models here are not used to prescribe drugs but rather to predict treatment likelihoods, revealing how bias in healthcare data can lead to…
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Increased risk of short-term depressive disorder after Helicobacter pylori eradication: A population-based nested cohort study
A study using Taiwan’s National Health Insurance data found that antibiotic therapy for H. pylori in patients with peptic ulcer disease was linked to a short-term increase in psychiatrist-diagnosed depression within 30 days. Women and patients treated with clarithromycin were particularly at higher risk. The researchers reported that the increased risk of depression after…
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GWAS of peptic ulcer disease implicates Helicobacter pylori infection, other gastrointestinal disorders and depression
A study of over 450,000 people in the UK Biobank identified 8 independent genes that affect stomach acid, gut movement, and the body’s response to infection, including susceptibility to Helicobacter pylori infection. The study also explored…
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Helicobacter pylori Infection Is Associated with Long-Term Cognitive Decline in Older Adults: A Two-Year Follow-Up Study
Helicobacter pylori infection is usually known for causing stomach problems, but it may also affect brain health. This research study published in 2023 followed 268 older adults with memory complaints for two years to see whether…
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Mental Health, AI & Learning
Proposal: Using Artificial Intelligence tools to support and mediate learning for students with math related difficulties, preventing and minimizing mental health issues. Proposed Implementation: 2026 to 2028 Call: HORIZON-CL2-2025-01 – Culture, Creativity and Inclusive Society –…