KAUST President announced a mandatory COVID-19 screening program for employees and students from November 1-5. The program aims to provide snapshots of COVID-19 prevalence in the community to inform healthcare demands and future plans. The university targets 5,000 individual swabs in partnership with the Ministry of Health, and participation is crucial for the program's success. Why it matters: This proactive measure enables KAUST to maintain a safe environment and continue reopening the campus, setting an example for managing the pandemic sustainably in the region.
This paper introduces an explainable machine learning framework for early-stage chronic kidney disease (CKD) screening, specifically designed for low-resource settings in Bangladesh and South Asia. The framework utilizes a community-based dataset from Bangladesh and evaluates multiple ML classifiers with feature selection techniques. Results show that the ML models achieve high accuracy and sensitivity, outperforming existing screening tools and demonstrating strong generalizability across independent datasets from India, the UAE, and Bangladesh.
KAUST Associate Professor Peiying Hong delivered a lecture on using wastewater testing to detect outbreaks earlier. The lecture explains how wastewater testing could lead to faster detection and more effective response to future pandemics. The research was presented at King Abdullah University of Science and Technology. Why it matters: Wastewater epidemiology can provide early warnings for emerging pathogens and improve public health preparedness in the region.
KAUST and King Faisal Specialist Hospital and Research Centre (KFSHRC) are collaborating to develop an RNA sequencing tool to improve the diagnosis rate of genetic diseases. The tool analyzes RNA data to find aberrant transcripts and mutations, building on KFSHRC's clinical data and KAUST's computational expertise. The team has already solved cases that DNA sequencing alone could not, including a case of a young child with brain damage caused by a recessive gene mutation. Why it matters: This collaboration can improve disease management and preventative services in the region, directly contributing to Saudi Arabia’s national research priority of health and wellness.
MBZUAI has opened applications for its NextGen Winter Program, a two-week AI literacy program for UAE high school students (Grades 10-12) taking place December 8-19, 2025. The program includes interactive workshops, group challenges, and engagement with MBZUAI faculty, with registration closing on November 19, 2025. This winter edition follows a successful summer program that saw high interest from UAE youth in AI. Why it matters: The program contributes to building national AI capabilities by providing early AI exposure to UAE youth, in line with the UAE's vision for future-ready talent.
The UAE is launching an initiative to train young Emiratis as 'industrial storytellers,' aiming to develop a specialized workforce capable of communicating compelling narratives about the nation's industrial sector. This program will equip participants with skills to create engaging content and effectively promote industrial advancements. The initiative is designed to enhance national talent in strategic communication and foster deeper engagement with critical economic sectors. Why it matters: This program underscores the UAE's commitment to developing a highly skilled local workforce, capable of leveraging modern communication techniques, potentially including digital and AI-driven tools, to highlight its industrial growth and attract investment.