KAUST researchers are developing iSCAN, a rapid, field-deployable COVID-19 test using RT-LAMP coupled with CRISPR-Cas12. The iSCAN system is designed for rapid, specific detection of SARS-CoV-2 and can be deployed by untrained personnel. The researchers are benchmarking iSCAN against commercial kits and seeking emergency use authorization from the Saudi FDA. Why it matters: A rapid, accurate, and field-deployable COVID-19 test could significantly improve pandemic management and control in Saudi Arabia and beyond.
KAUST and the International Medical Center (IMC) have signed an MoU to collaborate on medical research related to wellness, quality of life, and population health management. The partnership aims to develop AI applications for diagnosis and treatment, along with research in precision medicine and advanced therapies. The collaboration aligns with Saudi Vision 2030's goals to build a sustainable, knowledge-driven healthcare future. Why it matters: This agreement signifies a push to integrate AI and precision medicine into practical medical solutions within the Saudi healthcare system.
KAUST Professor David Keyes chaired the International Supercomputing Conference (ISC) 2020, which was held virtually due to the COVID-19 pandemic. The conference featured a record registration of 4,735 specialists in high-performance computing (HPC). A paper by KAUST Ph.D. students Noha Al-Harthi and Rabab Al-Omairi on computationally simulated acoustic scattering won the 2020 Gauss Award. Why it matters: KAUST's leadership in ISC and the Gauss Award highlight Saudi Arabia's growing contributions to the global HPC community.
FalconViz is a startup originating from KAUST that specializes in scanning and documenting the world. The company aims to provide new methods for documenting environments, benefitting cities and countries. Co-founder Neil Smith highlights the company's success as a demonstration of KAUST's original vision for startups. Why it matters: FalconViz represents a successful commercial venture emerging from Saudi Arabia's KAUST, showcasing the potential for technology and innovation within the Kingdom.
KAUST's Visual Computing Center (VCC) is researching computer vision, image processing, and machine learning, with applications in self-driving cars, surveillance, and security. Professor Bernard Ghanem is working on teaching machines to understand visual data semantically, similar to how humans perceive the world. Self-driving cars use visual sensors to interpret traffic signals and detect obstacles, while computer vision also assists governments and corporations with security applications like facial recognition and detecting unattended luggage. Why it matters: Advancements in computer vision at KAUST can contribute to innovations in autonomous vehicles and enhance security measures in the region.