KAUST researchers have developed a saliva-powered microbial fuel cell (MFC) that generates electricity using electrogenic bacteria to consume waste and release electrons. The micro-MFC uses graphene as an anode and an air cathode, achieving high current densities (1190 A m-3). The MFC produced 40 times more power than through the use of a carbon cloth anode. Why it matters: This technology offers a novel way to power lab-on-chip or portable diagnostic devices, particularly in remote or dangerous areas, and may offer alternatives to energy-intensive water purification technologies.
KAUST and King Faisal Specialist Hospital and Research Centre (KFSH&RC) are collaborating to develop bioelectronic sensors for rapid pathogen detection. These sensors aim to provide cheap and accurate results, potentially replacing conventional lab tests. A COVID-19 saliva test developed by KAUST researchers showed comparable sensitivity to PCR tests with a 15-minute turnaround. Why it matters: This partnership accelerates the development of novel diagnostic tools, which could improve healthcare accessibility in remote areas and low-income countries within the region.
This study investigates the correlation between Google Trends data for COVID-19 symptoms and the actual number of COVID-19 cases in Saudi Arabia between March and October 2020. The researchers found that searches for "cough" and "sore throat" were most frequent, while "loss of smell", "loss of taste", and "diarrhea" showed the highest correlation with confirmed cases. The study concludes that Google searches can serve as a supplementary surveillance tool for monitoring the spread of COVID-19 in Saudi Arabia. Why it matters: The research demonstrates the potential of using readily available digital data to augment traditional surveillance methods for public health monitoring in the region.
The Qatar Computing Research Institute (QCRI) has released SpokenNativQA, a multilingual spoken question-answering dataset for evaluating LLMs in conversational settings. The dataset contains 33,000 naturally spoken questions and answers across multiple languages, including low-resource and dialect-rich languages. It aims to address the limitations of text-based QA datasets by incorporating speech variability, accents, and linguistic diversity. Why it matters: This benchmark enables more robust evaluation of LLMs in speech-based interactions, particularly for Arabic dialects and other low-resource languages.
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KAUST researchers collaborated to identify molecular pathways for plant biofortification of vitamin A. A KAUST group demonstrated high pressure conversion of carbon dioxide into useful products. Another team designed a biosensor using metal oxide transistors to detect glucose in saliva. Why it matters: These projects highlight KAUST's contributions to biotechnology, environmental sustainability, and healthcare through advanced materials and molecular techniques.
A KAUST-led team developed NIRVANA, a portable, briefcase-sized device for rapid detection and sequencing of SARS-CoV-2, influenza, and other viruses. The test utilizes isothermal recombinase amplification (RPA) and was validated on clinical samples and wastewater. NIRVANA can differentiate SARS-CoV-2 strains and doesn't require expensive infrastructure. Why it matters: This innovation enables rapid, decentralized virus detection and surveillance, crucial for pandemic response and monitoring new variants across the region.