Best blood thinner for minimizing bleeding risk identified
A large-scale comparison of direct oral anticoagulants (blood thinners), commonly prescribed for irregular heartbeats, has identified the drug with the lowest risk of bleeding.
Science & Technology
Ancient genomes reveal hidden history of human adaptation
The use of ancient DNA, including samples of human remains around 45,000 years old, has shed light on a previously unknown aspect of human evolution.
Ancient genomes reveal hidden history of human adaptation
The use of ancient DNA, including samples of human remains around 45,000 years old, has shed light on a previously unknown aspect of human evolution.
Violent supershear earthquakes are more common than previously thought
About 14% of magnitude 6.7 or greater strike-slip earthquakes since 2000 have been supershear. That’s 50% more than previously thought. Supershear earthquakes occur when a fault ruptures faster than seismic shear waves can travel through rock. The even…
Violent supershear earthquakes are more common than previously thought
About 14% of magnitude 6.7 or greater strike-slip earthquakes since 2000 have been supershear. That’s 50% more than previously thought. Supershear earthquakes occur when a fault ruptures faster than seismic shear waves can travel through rock. The even…
Groundcherry research bears new fruits
More adaptable crops are needed to address global hunger and worsening challenges in food production. Researchers have now developed new genetic blueprints for two types of groundcherry. Their work can help unlock the potential for orphan crops like gr…
Antarctic summer thaw starts earlier, ends later than previously believed
New research changes our understanding of seasonal thawing in parts of Antarctica, as scientists have learned that summer thawing occurs nearly a month earlier, and stays thawed for a full two months longer than previously believed.
Artificial intelligence approach may help identify melanoma survivors who face a high risk of cancer recurrence
Researchers have developed and validated a machine learning–based method to predict which patients with early-stage melanoma are most likely to experience a cancer recurrence.