Diversity and inclusion are pivotal components of the Sustainable Development Goals (SDGs). Primarily, they relate to SDG 10 (Reduced Inequalities) and SDG 5 (Gender Equality), aiming to promote social, economic, and political inclusion and ensure equal opportunities for all, irrespective of gender, age, race, ethnicity, origin, religion, economic status, or disability. Furthermore, diversity and inclusion relate to SDG 4 (Quality Education) by promoting inclusive and equitable quality education. SDG 8 (Decent Work and Economic Growth) also embodies the values of diversity and inclusion, calling for equal pay for work of equal value and promoting safe and inclusive working environments. Ultimately, the pursuit of diversity and inclusion is indispensable for realizing a fair and sustainable world as envisioned by the SDGs.
Objective imaging-based biomarker discovery for psychiatric conditions is critical for accurate diagnosis and treatment. Using a machine learning framework, this work investigated the utility of brain's functional network topology (complex network features) extracted from functional magnetic resonance imaging (fMRI) functional connectivity (FC) as viable biomarker of autism spectrum disorder (ASD). To this end, we utilized resting-state fMRI data from the publicly available ABIDE dataset consisting of 432 ASD patients and 556 matched healthy controls.
Obesity Hypoventilation Syndrome From Physiologic Principles to Clinical Practice 2020, Pages 29-38
