A new risk prediction tool developed by the American Heart Association (AHA) estimated cardiovascular disease (CVD) risk in a diverse patient cohort more accurately than current models, according to a recent study published in Nature Medicine. 

New deep learning tool may boost precision and consistency for cancer treatment.

Research conducted at the University of Leeds has helped to uncover a trend of increasing surface meltwater in East Antarctica, raising questions about future ice sheet behaviour.

The collapse of tropical forests during Earth’s most catastrophic extinction event was the primary cause of the prolonged global warming which followed, according to new research.

A peatland complex in the Congo Basin which is known to be a globally important carbon store is twice as old as previously thought, according to a new scientific study.

A study in ferrets — which have remarkably similar respiratory systems to humans — suggests that widespread immunity to H1N1 seasonal influenza virus may explain why exposure to H5N1 bird flu causes only mild symptoms in humans.

An MIT study shows decreases in seed-dispersing animals can lead to a major reduction in forest carbon absorption.

Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and regional level. 

Immersing in virtual reality (VR) nature scenes helped relieve symptoms that are often seen in people living with long-term pain, with those who felt more present experiencing the strongest effects.

Researchers discover a complete skin-to-brain neural circuit for temperature sensing, a finding that could help spur medical innovations such as new treatments for temperature-associated pain.