Repetitive head impacts from contact sports are associated with brain inflammation, vascular damage and neuron loss that are independent of hyperphosphorylated tau pathology.

When it comes to eliminating toxic and expensive heavy metals in the chemical industry, a new study from the University of Würzburg points the way forward.
The team led by chemistry professor Holger Braunschweig at the University of Würzburg is investigating the “metal-mimetic” properties of main group elements such as boron. They have shown that under certain conditions, boron can mimic the reaction behavior of metals without being toxic or as expensive as metals.
The article published in Nature Chemistry shows that boron can also form so-called π complexes with olefins, which are similar in their properties and behavior to the complexes of transition metals with olefins. The latter compounds are intermediates in many large-scale catalytic processes in industry.
After decades of relying on aging satellites, NOAA is launching a purpose-built eye on the sun.
Regular exercise is associated with pronounced health benefits. The molecular processes involved in physiological adaptations to exercise are best understood in skeletal muscle. Enhanced mitochondrial functions in muscle are central to exercise-induced adaptations. However, regular exercise also benefits the brain and is a major protective factor against neurodegenerative diseases, such as the most common age-related form of dementia, Alzheimer’s disease, or the most common neurodegenerative motor disorder, Parkinson’s disease. While there is evidence that exercise induces signalling from skeletal muscle to the brain, the mechanistic understanding of the crosstalk along the muscle–brain axis is incompletely understood. Mitochondria in both organs, however, seem to be central players.
Scientists said Wednesday that they had created an AI model able to predict medical diagnoses years in advance, building on the same technology behind consumer chatbots like ChatGPT.
Based on a patient’s case history, the Delphi-2M AI “predicts the rates of more than 1,000 diseases” years into the future, the team from British, Danish, German and Swiss institutions wrote in a paper published in the journal Nature.
Researchers trained the model on data from Britain’s UK Biobank – a large-scale biomedical research database with details on about half a million participants.