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King Abdullah University of Science & Technology (KAUST)


Going to extremes to predict natural disasters

Researchers at KAUST have developed a systematic method for comparing the accuracy of different types of simulation models for predicting extreme events. The study found that nonparametric methods are more flexible but limited to small dimensions, while parametric methods can handle higher-dimensional problems but are sensitive to errors.

SourceKing Abdullah University of Science & Technology (KAUST)·JournalStatistics and Computing·DateJul 9, 2017

Individualizing health care one byte at a time

A team of scientists has developed an algorithm called PhenomeNET Variant Predictor (PVP) that can identify genetic changes in patients with genetic disorders. PVP uses data from non-human model organisms and a large database of gene-to-phenotype associations to prioritize variants with their likelihood of involvement in human disease.

SourceKing Abdullah University of Science & Technology (KAUST)·JournalPLOS Computational Biology·DateApr 18, 2017

Blind matchmaking for more efficient wireless networks

A new algorithm allows users from different network providers to pair up and make better use of the available wireless spectrum, reducing inefficiency in wireless technology. The 'blind' matching algorithm uses a simple learning process and converges to a stable-matching state, enabling mutually beneficial partnerships.

SourceKing Abdullah University of Science & Technology (KAUST)·JournalIEEE Journal on Selected Areas in Communications·DateFeb 26, 2017

First detection of an artemisinin-resistant malaria parasite contracted in Africa

Scientists have detected an artemisinin-resistant malaria parasite originating from West Africa for the first time in Africa, posing a significant threat to malaria control efforts. The finding confirms that the parasite carries a new mutation in the Kelch13 gene, which is the primary driver of resistance in Southeast Asia.

SourceKing Abdullah University of Science & Technology (KAUST)·JournalNew England Journal of Medicine·DateFeb 22, 2017

Delivering a power punch

A KAUST research team created integrated microsupercapacitors with three-dimensional porous electrodes, achieving high energy density of 200 microwatt-hours per square centimeter. The devices outperform state-of-the-art microsupercapacitors and thin film batteries, offering promising applications for self-powered sensors and IoT systems.

SourceKing Abdullah University of Science & Technology (KAUST)·JournalAdvanced Energy Materials·DateDec 5, 2016