RELX SDG Inspiration Day 2025
The Future of Philanthropy: Stepping up for the United Nations Sustainable Development Goals
This study reviews the growth and current state of the specialty of emergency medicine (EM) around the world. The 2023 World Health Assembly resolution emphasized emergency care as a cost-effective means to reduce health disparities and called for increased investment in emergency and critical care. Although EM is an increasingly recognized medical specialty, its growth faces barriers such as insufficient training programs, workforce shortages, and systemic challenges including resource shortages and burnout.
Corporate Responsibility (CR) starts with the positive impact RELX has on society through our products and services.
Nexus
Volume 2, Issue 1
100054
Prioritizing green and water-conscious production, making the energy transition more sustainable via water-conscious and green production of hydrogen and methanol.
International Women's Day is an annual celebration on March 8th. This year's theme is “For ALL Women and Girls: Rights. Equality. Empowerment", which emphasizes the imperative for action to foster equal rights, power, and opportunities for all, paving the way for a feminist future that leaves no one behind. At the core of this vision is the empowerment of the next generation—specifically, youth, with a focus on young women and adolescent girls—who are poised to serve as catalysts for sustainable change. To raise awareness for this important topic, Elsevier presents a curated list of publicly available journal articles and book chapters to help advance #SDG3, #SDG5 and #SDG10 research.
Black women face significant disparities in IVF outcomes due to barriers such as discrimination, lack of knowledge, cultural insensitivity, and high costs, highlighting the need for culturally competent care and better education to improve access and outcomes.
This study evaluated ChatGPT-4's ability to generate personalized, evidence-based nutrition recommendations in English, Russian, and Kazakh for Central Asian populations, finding moderate performance in English and Russian but very limited effectiveness in Kazakh due to language limitations. The results underscore the need for customized AI models tailored to underrepresented languages and local cultures to ensure equitable and relevant health solutions for diverse communities.
