These novel immune signatures identify patients most at risk for developing severe COVID-19 symptoms.
Lockdown measures not only reduced the number of COVID-19 cases but also resulted in a temporary improvement in air quality, study finds.
Using flow cytometry, researchers have developed a sensitive and specific test for COVID-19 that can identify asymptomatic carriers.
Plant-based ionizers are surprisingly effective at removing aerosols and could play an important role in preventing COVID-19 transmission.
A multifaceted study by the Singapore 2019 Novel Coronavirus Outbreak Research team is filling in some of the gaps left in the urgent quest to understand COVID-19 infection.
Computational models show that there’s much more to COVID-19 transmission than the airborne-or-droplet binary.
A*STAR researchers have developed a point-of-care rapid antibody test kit that can detect antibodies produced in response to SARS-CoV-2 infection in just fifteen minutes.
Multidimensional emotion-sensing algorithms that analyze social media for the public’s concerns during times of crisis could help improve policy and messaging from governments.
By eliminating bottlenecks and automating manual processes, the RESOLUTE test kit and RAVE system co-developed by A*STAR scientists will help give COVID-19 testing a much-needed boost.
A new machine learning technique can predict the dynamics between microbes and therapeutics with unprecedented accuracy.
A*STAR researchers use digital drug simulators to predict the efficacies of repurposed antivirals for treating COVID-19.