An experimental drug for treating diabetes and obesity has been shown to lower blood sugar levels and increase fat burning. It is a β2-adrenergic receptor (β2AR) agonist that mimics the effects of physical exercise by activating skeletal muscle metabolism. Unlike GLP-1-based treatments such as semaglutide and tirzepatide, this new compound, developed by researchers at the Karolinska Institute, Stockholm University, and the biotech company Atrogi AB, does not suppress appetite or cause muscle loss. 

In recognition of the fact that diversity, equity and inclusion are necessary prerequisites for precision medicine, the European Academy of Neurology announced the launch of a DEI Hub at its 11th Congress, which is being held in Helsinki through June 24.

At the 11th Congress of the European Academy of Neurology, which was held in Helsinki June 21 to June 24, researchers presented new data on using CAR T cells in autoimmune neurological conditions.

At the 11th Congress of the European Academy of Neurology, which was held in Helsinki June 21 to June 24, researchers presented new data on using CAR T cells in autoimmune neurological conditions.

At the 11th Congress European Academy of Neurology, which was held in Helsinki June 21 to June 24, researchers presented new data on using CAR T cells in autoimmune neurological conditions.

In recognition of the fact that diversity, equity and inclusion (DEI) are necessary prerequisites for precision medicine, the European Academy of Neurology (EAN) announced the launch of a DEI Hub at its 11th Congress, which is being held in Helsinki through June 24. “We know now that when we talk about personalized medicine, we have to understand that talking about stroke, for example, in a woman is different than talking about stroke in a man,” EAN president Elena Moro told the audience at the opening session of the conference.

The Alphafold machine learning system for predicting a protein’s structure from its amino acid sequence has been adapted to make it possible to design de novo proteins that fold in a particular way and bind to prespecified target proteins. The sister system, called Alphadesign, works by generating random strings of amino acids, using Alphafold to predict their structure, and then iteratively optimizing the design.

The Alphafold machine learning system for predicting a protein’s structure from its amino acid sequence has been adapted to make it possible to design de novo proteins that fold in a particular way and bind to prespecified target proteins. The sister system, called Alphadesign, works by generating random strings of amino acids, using Alphafold to predict their structure, and then iteratively optimizing the design.

Is fecal microbiota transplant effective? Is it really safe? And is it really all the same? Scientists at the University of Chicago have investigated the regional differences in gut environments to question these interventions.