University of Utah engineers encode partial differential equations in light and feed them into newly designed optical neural engine, or ONE, to accelerate machine learning.

Complex illnesses are not caused by one gene but groups of genes. The number of gene combinations is too enormous to analyze comprehensively. New AI model focuses on gene expression changes to identify key genes and their collective influence on disease.

Researchers studied an ancient forest of bald cypress trees preserved in subfossil form at the mouth of Georgia’s Altamaha River. Using radiocarbon dating and tree-ring analysis, they revealed a dramatic shift in growth patterns: around 500 A.D., these trees began growing faster – but living far shorter lives. Their average lifespan plunged from more than 470 years to just 186, coinciding with the Vandal Minimum,  a sixth century climate crisis marked by global cooling and upheaval, likely caused by volcanic eruptions and possibly even a comet impact.

During embryonic development, thousands of cells divide and move as one. Understanding the mechanisms that coordinate this collective behavior remains a significant challenge in biology and the physics of living systems. Researchers from UC San Diego have discovered that avian embryos control their size and shape using modular, independent physical mechanisms. This work may help develop strategies for engineering synthetic biomaterials.

A team led by Rutgers University-New Brunswick engineers has developed a portable device capable of detecting rare genetic mutations from a single drop of blood.

The instrument, described in a study published in Communications Engineering of the Nature Publishing Group, was shown in lab experiments to quickly and accurately test for a genetic condition called hereditary transthyretin amyloidosis, which can cause heart problems.