This study supports SDG 3 by showing that adolescents’ cognitions around learning and success are associated with future mental health outcomes.
This content aligns with Goal 3: Good Health and Goal 9: Industry, Innovation and Infrastructure by discussing the relationship between mental health, aging, and the COVID-19 pandemic, and the infrastructure in place to address declines in mental health in these populations.
This content aligns with Goal 3: Good Health and Goal 10: Reduced Inequalities by recognizing the unique challenges faced by families of children with disabilities during the pandemic and exploring positive outcomes that can enhance their resilience and well-being. By shifting the focus to strengthening family systems, the study promotes better mental health and support mechanisms for these families, ultimately contributing to improved health outcomes and reducing disparities. This approach encourages a more holistic understanding of the pandemic's impact, fostering equity and inclusion for families navigating post-pandemic challenges.

This content aligns with Goal 3: Good Health as well as Goal 10: Reduced Inequalities by providing research on disabilities to help prepare for future public health disasters. It also promotes inclusive leadership and implementation that considers the needs of people with disabilities.

To understand how best to help patients and improve health during an epidemic it is necessary to have good modelling techniques and protocols.
This year’s RELX SDG Inspiration Day will bring together global AI leaders, corporate representatives, investors, government, and NGOs to explore issues, gain practical insights and be inspired to take action in support of the Global Goals. Elsevier is proud to share this special collection of articles and chapters in celebration of this event.
Elsevier,

Remington and Klein's Infectious Diseases of the Fetus and Newborn Infant (Ninth Edition), 2025, Pages 728-744.e4

This content aligns with Goal 3: Good Health. Public health programs at the governmental level are in need for prevention of the maternal-fetal transmission of these viruses and access to available antiviral therapies.

This study developed four deep learning models to identify potential Alzheimer's disease treatments from traditional Chinese medicine, specifically the Kaixinsan formula. The models successfully predicted compounds that showed significant anti-Alzheimer's activities in various experimental validations.

This article supports SDG 3 by showing that using an interactive mHealth application can reduce dementia risk factors in populations who are underserved and at increased risk.
This article looks at complications that arise from combinations of Alzheimers and osteoporosis in mouse models

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