Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to ...
Background Although voting is recognised as a social determinant of health, the association between electoral participation ...
A new study shows that autism symptom severity, rather than a formal diagnosis, aligns with shared brain-connectivity patterns across children diagnosed with autism or ADHD.
Overview Kaggle projects provide real-world experience in AI and machine learning.Participants gain practical skills in NLP, computer vision, and predictive mod ...
Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...
Background Postoperative ileus (POI) is a common complication after abdominal surgery that significantly delays recovery. Evidence suggests that the general anaesthetic propofol inhibits ...
Objectives Disease activity assessment is important for Crohn’s disease (CD) management, since it involves the initial and subsequent therapeutic schedule. The purpose of this study is to identify a ...
A RECENT Greek study presented at EASD 2025 has suggested that semaglutide, a glucagon-like peptide-1 (GLP-1) receptor ...
Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...
Background Immunogenicity to SARS-CoV-2 vaccination in patients with SLE varies by vaccine type and immune-modulating therapy. However, data in Southeast Asian populations, especially among Thai ...
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