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67 articles from ScienceDaily

Interventions stem antibiotic prescribing rates in telemedicine

Two different interventions both worked to significantly reduce the rate of inappropriate antibiotic prescriptions made by physicians in a telemedicine practice, a new study shows. The finding could offer a new way to stem the growing problem of antibiotic resistance, particularly as telemedicine grows due to the ongoing COVID-19 pandemic.

New observations of black hole devouring a star reveal rapid disk formation

When a star passes too close to a supermassive black hole, tidal forces tear it apart, producing a bright flare of radiation as material from the star falls into the black hole. Astronomers study the light from these 'tidal disruption events' (TDEs) for clues to the feeding behavior of the supermassive black holes lurking at the centers of galaxies, and new observations help resolve crucial...

Researchers unravel two mysteries of COVID-19

In one study, researchers have identified six molecules that can be used as biomarkers to predict how severely ill a patient will become. In another study, they reveal a new mechanism causing blood clots in COVID-19 patients and potential ways to treat them.

Tethering together type 2 diabetes drugs increases efficacy of combination therapy

Biomedical engineers have shown that the effectiveness of a two-pronged type 2 diabetes treatment increases when the drugs are linked by a heat-sensitive tether rather than concurrently administered. The combination molecule forms a gel-like depot under the skin that slowly releases the drug. These findings suggest that this approach to combination drug design could be applied to disease therapies...

Key immune system protein discovered in plants

A new study has discovered the key calcium channel responsible for closing plant pores as an immune response to pathogen exposure. The findings are a major step toward understanding the defense mechanisms plants use to resist infection, which could eventually lead to healthier, more resistant and more productive crops.

New neural network differentiates Middle and Late Stone Age toolkits

The change from Middle Stone Age (MSA) to Later Stone Age (LSA) marks a major cultural change amongst our hunter-gatherer ancestors, but distinguishing between these two industrial complexes is not straightforward. New researc demonstrates how machine learning can provide a valuable tool for archaeologists, and can identify what differentiates the MSA and LSA.