This content aligns with Goal 3: Good Health and Wellbeing and Goal 10: Reduced Inequalities by presenting ASD as a complex, multisystem neurodevelopmental condition with origins in prenatal life.
Advocates and justifies a specific maritime policy that would protect marine biodiversity in the Mediterranean.
This article ties to SDG 3. In the present study psychotherapy readiness domains as predictors of psychotherapy outcome in trauma-affected refugees was examined.
This article ties to SDG 3. This resource, created together by Osmosis and the National Organization for Rare Diseases (NORD), aims to increase the knowledge and awareness about the rare disease Achondroplasia, the most commonly occurring form of skeletal dysplasia that occurs in approximately 1 in 20,000-30,000 live births.
Kallmann syndrome (KS) is a rare genetic disorder that refers to the association between hypogonadotropic hypogonadism and anosmia or hyposmia due to abnormal migration of olfactory axons and gonadotropin-releasing hormone-producing neurons.
This article supports SDG's 3, 6, and 11 by illustrating the reduction of pollutants using various microbial techniques. Strategy and recommendations are summarized, along with the future prospects.
This content supports the SDG Goal 3: Good health and well-being by formulating an epidemiological mathematical model that demonstrates the transmission of the hepatitis B virus for use in research.
This Article supports Sustainable Development Goal 3 by examining whether psychological intervention for anxiety disorders is associated with a lower incidence of dementia. The results suggest that improvement in anxiety from these therapies was associated with reduced incidence of future dementia.
This article is NeuroView on blood-based biomarkers for AD and deployment in diverse settings
This Article supports Sustainable Development Goal 3 by developing a methodology for discriminating between and classifying Alzheimer's disease and frontotemporal dementia according to demographic, clinical, and cognitive data, across centres in Latin America. The approach provided high accuracy with the combination of classical statistical and machine learning procedures.
