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.
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.
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 will host its Fall Discovery Enrichment program from October 14-22, focusing on the theme "Food for All." The program includes discussions on women in biology led by Bettina Berger, Jasmeen Merzaban, Peiying Hong, and Ashwag Albukhari. Other activities feature a workshop on diet improvement by Amna Malik and cooking demonstrations by German chef Bernd Arold, alongside screenings of food-related movies. Why it matters: The event promotes community engagement and education around food-related topics, highlighting the intersection of science, health, and culture within the KAUST community.
KAUST researchers developed a statistical approach to improve the identification of cancer-related protein mutations by reducing false positives. The method uses Bayesian statistics to analyze protein domain data from tumor samples, accounting for potential errors due to limited data. The team tested their method on prostate cancer data, successfully identifying a known cancer-linked mutation in the DNA binding protein cd00083. Why it matters: This enhances the reliability of cancer research at the molecular level, potentially accelerating the discovery of new therapeutic targets.
Carlo Maj from the University of Marburg will discuss using polygenic modeling to analyze the genetic architecture of multifactorial traits. He will present how these approaches can be used to predict the genetically driven components of complex phenotypes. The talk highlights the potential of these methods to bridge genomic research and genetic epidemiology using biobank data. Why it matters: Such methods could improve disease risk assessment and advance personalized risk management in the region if applied to local biobanks or datasets.
KAUST's Supply Chain Services implemented a Chemical Re-Use Program in February 2016 to encourage researchers to share surplus chemicals. Over 100 researchers have donated more than 3,000 bottles, with over 1,300 bottles reused across multiple divisions and centers. The Enterprise Reagent Manager (ERM) software helps researchers locate available chemicals. Why it matters: This initiative reduces chemical waste, saves costs and time associated with procurement, and promotes environmental sustainability within the university's research ecosystem.
Professor Eran Segal presented The Human Phenotype Project, a longitudinal cohort study with over 10,000 participants. The project aims to identify molecular markers and develop prediction models for disease using deep profiling techniques including medical history, lifestyle, blood tests, and microbiome analysis. The study provides insights into drivers of obesity, diabetes, and heart disease, identifying novel markers at the microbiome, metabolite, and immune system level. Why it matters: Such large-scale phenotyping initiatives could inform personalized medicine approaches relevant to the Middle East's specific health challenges.