A new study reveals that ancient viral DNA embedded in the human genome is associated with genetic risk for amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS). Researchers found specific human endogenous retroviruses (HERVs) that influence susceptibility to these neurodegenerative diseases.

Researchers have developed a machine learning model that upgrades 3T MRI images to mimic the higher-resolution 7T MRI, providing enhanced detail for detecting brain abnormalities. The synthetic 7T images reveal finer features, such as white matter lesions and subcortical microbleeds, which are often difficult to see with standard MRI systems. This AI-driven approach could improve diagnostic accuracy for conditions like traumatic brain injury (TBI) and multiple sclerosis (MS), though clinical validation is needed before wider use.