Latest Posts
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Disaster Resilience, Health Emergency & Crisis Management
Proposal: Fostering Health and Community Resilience Proposed Implementation: 2024 – 2026 Call: HORIZON-CL3-2023-DRS-01- Disaster-Resilient Society 2023 Proposed Budget: 3 881 825,00€ Keywords: Disaster resilience and crisis management, Health, emergency, communication Objective: The project aims to enhance societal resilience and support vulnerable groups, particularly during crises. The goals include developing a user-friendly application for efficient…
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Neuromodulating agents in functional dyspepsia: a comprehensive review
Functional dyspepsia is a frequent chronic condition characterized by upper abdominal discomfort without an identifiable organic cause. Usual first-line treatments include proton pump inhibitors or Helicobacter pylori eradication, but many patients continue to have persistent symptoms. Because of this, neuromodulating agents are frequently used in clinical practice, although current European, American and Canadian guidelines primarily mention tricyclic…
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Improving Health in Alzheimer’s Patients
Proposal: Adapted Physical Activity and Awareness Training to Improve Health in Alzheimer’s Patients and Their Entourage Proposed Implementation: 2024 to 2026 Call: EU4H-2023-PJ – EU4H Action Grants 2023 Proposed Budget: 596 289,60€ Keywords: Alzheimer,…
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Association of mental health conditions and functional gastrointestinal disorders among Vietnamese new-entry medical students
Functional gastrointestinal disorders (FGIDs), sometimes called disorders of gut–brain interaction, do not affect only older people, they are also common in young adults. A study among 400 first-year medical students in Vietnam investigated how these…
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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…
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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 relation by assessing the presence and severity of depression in 150 patients with or without H. pylori infection. When comparing both groups, the authors found that H. pylori infection was significantly associated with depression and, more interestingly, with its severity. These findings point…
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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 no formal education, and lived in rural areas – around 11% showed signs of probable depression. The prevalence was…
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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, homogenous…
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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 behaviors…
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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…