Latest Publications
-
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 – 2025 Topic: HORIZON-CL2-2025-01-TRANSFO-08 Type of Action: HORIZON Research and Innovation Actions Proposed Budget: 3 850 702,80€ Keywords: Population dynamics,
-
The association between psychological status and the development of early gastric cancer from atrophic gastritis
A recent hospital-based, cross-sectional observational study, was conducted in the Chinese population to explore the potential relationship between psychological state and the progression of atrophic gastritis (AG; caused by H. pylori or not) to early stage gastric cancer (EGC). The study included 258 individuals receiving care in the Department of Gastroenterology at The Affiliated Hospital
-
Scalable Soil Health Restoration
Proposal: Scalable Soil Health Restoration and Climate Resilience through Biostimulants, Modelling, and Community Networks Proposed Implementation: 2026 to 2030 Call: HORIZON-MISS-2025-05 – Supporting the implementation of the Soil Deal for Europe Mission Topic: HORIZON-MISS-2025-05-SOIL-07 Type…
-
Family Well-Being & Key Gender Drivers on Labour Market
Proposal: Advancing Labour Market Accessibility in the Mediterranean Proposed Implementation: 2026 to 2029 Call: HORIZON-CL2-2025-02-TWO-STAGE – Culture, Creativity and Inclusive Society – 2025 – Two-stage Topic: HORIZON-CL2-2025-02-TRANSFO-04-two-stage Type of Action: HORIZON-RIA – HORIZON Research and…
-
The association between H. pylori infection and cognitive deterioration: a systematic review and meta-analysis
The association between cognitive decline and H. pylori infection remains controversial, with some evidence suggesting that H. pylori eradication may slow the progression of the disease. A new meta-analysis reviewed 16 studies to explore whether…
-
Assessing Algorithmic Bias in Language-Based Depression Detection: A Comparison of DNN and LLM Approaches
A study found that large language models (LLMs) outperform traditional deep neural network (DNN) embeddings in automated depression detection and show reduced gender bias, through racial disparities remain. Among DNN fairness-mitigation techniques, the worst-group loss provided the best balance between overall accuracy and demographic fairness, while fairness-regularized loss underperformed. The identified biases affect the fairness
-
Seniors Neuropsychological Disorders Patients & EU Fundamental Rights
Proposal: Safeguarding dementia & other neuropsychological disorders patients’ and caregivers’ rights through strategic litigation in Europe Proposed Implementation: 2026 to 2029 Call: CERV-2025-CHAR-LITI – Call for proposals to promote civil society organisations’ awareness of, capacity building and implementation of the EU Charter of Fundamental Rights Topic: CERV-2025-CHAR-LITI Type of Action: CERV-PJG- CERV Project Grants…
-
Migrant & Vulnerable Group’s Health
Proposal: A Transnational Gateway for Access, Training, and Empowerment in Migrant Healthcare Proposed Implementation: 2026 to 2030 Call: AMIF-2025-TF2-AG-INTE – Transnational Actions on Asylum, Migration and Integration 2025 Topic: AMIF-2025-TF2-AG-INTE-02-HEALTH Type of Action: AMIF-PJG – AMIF…
-
Mental Health Literacy for Kids
Proposal: Empowering Children with Mental Health Literacy Online Proposed Implementation: 2026 to 2028 Call: CERV-2025-CHILD – Rights of the child and children’s participation Topic: CERV-2025-CHILD Type of Action: CERV-LS – CERV Lump Sum Grants Proposed Budget:…
-
Developing personalized algorithms for sensing mental health symptoms in daily life
This study investigates algorithmic bias in AI tools that predict depression risk using smartphone-sensed behavioral data. It finds that these tools underperform in larger, more diverse populations because the behavioral patterns used to predict depression are…