King Abdullah University of Science and Technology (KAUST) and the Japanese Broadcasting Corporation (NHK) signed a collaborative agreement for NHK to film the wonders of the Red Sea in high-definition, 8K technology.
“Blue Carbon” to mitigate climate change
Carlos Duarte, who spent part of his career in Spain – at the Institute of Marine Sciences in Barcelona, the Blanes Centre of Advanced Studies, and the Mediterranean Institute for Advanced Studies in Mallorca (all CSIC) – expressed his satisfaction yesterday at joining the list of awardees in this category, which he described as “pract
The Computational Bioscience Research Center (CBRC) is seeking a highly motivated individual to join the core staff team. The successful candidate will be responsible for supporting center activities relating to computational biology.
Sahika Inal, KAUST associate professor of Bioscience and principal investigator of the Organic Bioelectronics Laboratory Lab, joined the Computational Bioscience Research Center (CBRC) on July 1, 2021. In CBRC, Sahika will work on designing electronic devices that can efficiently communicate with biological systems.
Tiny drops that resemble an extracellular matrix can be used to culture cells for delivery into the human body.
An approach that reduces the computational power required to analyze huge amounts of DNA data for identifying new microbes and their proteins could be used for manufacturing anything from new antibiotics to plastic-degrading enzymes.
KAUST and CBRC founding member Aleksandar Radovanovic (Senior Computational Scientist) has retired from KAUST after 12 years of dedicated service to the center.
Aryam Alotaibi a SRSI student at CBRC wins the top paper Award titled "Computational method to predict drug-disease associations using machine learning and graph embedding."
3D models of bone formation provide a tool for tissue engineering, biomedical research and drug testing.
The annual IEEE Computer Society Global Student Challenge provides an avenue for students worldwide to create innovative solutions to big data problems. This year’s competition, IEEE CS GSC 2021, encourages each individual or team (max three students) to present solutions to pre-determined problem/issue statement of relevance in CS today.
KAUST scientists have developed a user-friendly COVID-19 mutation tracking system, useful for authorities and scientists to quickly detect variants in their region, allowing them to make speedy policy and public health decisions.