News

Study highlights dangers of COVID-19 spike after removal of health precautions.

What if in the many DNA repeat elements lay the foundation for building a novel type of biocomputer? A new study has explored this possibility.

Processing vocal recordings of infected but asymptomatic people reveals potential indicators of COVID-19.

Analysis of data from the COVID Symptom Study app, led by researchers from King’s College London, reveals that there are six distinct ‘types’ of COVID-19, each distinguished by a particular cluster of symptoms.

Researchers have developed a new complex material design strategy for potential use in neuromorphic computing.

In a study with implications from oncology to ecology, researchers have shown that data science can unlock subtle clues about the individual origins of collective behavior.

Researchers are screening millions of molecules in order to find those blocking interactions on SARS-CoV-2, to identify those that can be used therapeutically.

Researchers modeled the interplay between the duration and intensity of social distancing. They found a law of diminishing returns, showing that longer periods of social distancing are not always more successful when it comes to slowing the spread, and that any strategy that involves social distancing requires other steps be taken in tandem.

A new study has laid out best practices for using telehealth during the COVID-19 pandemic, focusing particularly on trauma-informed care.

Researchers have developed a computational model that helps improve the injectability of microparticles and prevent them from clogging.