Human childbirth is not uniquely difficult among mammals
Peer-Reviewed Publication
Updates every hour. Last Updated: 8-Jun-2026 01:16 ET (8-Jun-2026 05:16 GMT/UTC)
The biological shifts that accompany aging seemingly occur in many cells in the body, but technical limitations have stymied our understanding of those changes. Now researchers have produced two groundbreaking techniques that overcome these traditional barriers. The researchers hope their techniques will function as both clinical and research tools for diagnosing disease and uncovering new biology across a wide range of conditions.
A new worm model developed by Brown University researchers could play a key role in treating a rare genetic disease that causes paralysis in children and worsens with age. Developed in the lab of neuroscientist Anne Hart, a genetically engineered C. elegans nematode model provides a fast, inexpensive way to evaluate potential drug treatments for alternating hemiplegia of childhood, or AHC, a disorder that currently has no cure or effective treatments.
For decades, scientists have known that estrogen protects cardiovascular health, but exactly how that protection works—and what happens when it disappears—has remained unclear. New research from University of Texas at Arlington points to the liver and the immune system as critical players.
Restoring dry forests in the Pacific Northwest, shaped by frequent low-intensity fire and widely spaced trees, often means thinning dense stands that accumulated after decades of fire suppression. This can make forests healthier and more resilient to wildfire, but it can raise concerns about protecting wildlife that depend on dense tree cover, including the northern spotted owl.
A new study by researchers at Oregon State University and the U.S. Forest Service and just published in Forest Ecology & Management, suggests that restoration of landscapes that historically burned frequently through planned, controlled fire does not have to conflict with spotted owl conservation.
Proteins change shape as they function, and these changes are essential for processes such as drug interactions and cellular activity. Researchers from the Tokyo University of Science developed an AI-based method called DeepAFM that is trained on millions of simulated images representing different protein states, accurately identifying transitions between closed and open states in a protein called SecA. This approach highlights the growing potential of AI to solve complex challenges in biology and medicine.