A combination of only 11 proteins can predict long-term disability outcomes in multiple sclerosis (MS) for different individuals. The identified proteins could be used to tailor treatments to the individual based on the expected severity of the disease.
Read more …Severe MS predicted using machine learning
Decisions on treatment for leukemia patients are based, among other things, on a series of certain genetic features of the disease. IT specialists and physicians have now shown how a method based on artificial intelligence can be used to predict various genetic features on the basis of high-resolution microscopic images of bone marrow smears.
Read more …Leukemia: Artificial intelligence provides support in diagnostics
Brown fat cells convert energy into heat -- a key to eliminating unwanted fat deposits. In addition, they also protect against cardiovascular diseases. Researchers have now identified the protein EPAC1 as a new pharmacological target to increase brown fat mass and activity. The long-term aim is to find medicines that support weight loss.
Read more …Main regulator for the body`s 'oven' discovered