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Researchers have developed a multiscale mathematical model to analyze integrated biologic and pathologic data to determine prostate tumor aggressiveness.

In a new paper published in the journal Nature Plants, researchers identify a series of multiscale and multidisciplinary components – from crop genetics up to global factors – that are critical for finding environmentally sustainable solutions to food security.

Vaccines are one of the most effective interventions to prevent the spreading of infectious diseases. A new strategy could make for more precise vaccine development by very precisely instructing the body's immune system which antibodies to produce.

Using a neural network, images collected for a dark energy telescope project have revealed hundreds of new gravitational lens candidates.

Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.

A tool that uses machine-learning technology can distinguish the cause of different types of blood clots based on subtle differences in their shape.

Developed at the Moscow Institute of Physics and Technology, a new open-source software tool PCAlipids aims to analyze lipid behavior.

Researchers have developed a method to accurately assess the effect of specific drugs in isolated pancreatic tissue by using a refined single-cell RNA sequencing method.

Scientists have come up with a new method to track plastic emissions from inland areas to sea. This method is useful to identify the "hotspots" of plastic emission and can even help to implement appropriate measures to avoid plastic pollution.

Job-replacing tech has directly driven the income gap since the late 1980s, according to a new study.