Big Pharma

Discovering factors affecting ascending aortic dilatation improves identification of high-risk patients Prediction of aortic dissection or rupture of the thoracic aortic aneurysm is a challenge, and more accurate identification of high-risk patients and timing of repair surgery are required. A new collaborative study by the University of Eastern Finland and Kuopio University Hospital indicates that magnetic resonance imaging-derived wall shear stress values predict pathological changes in the aortic wall in patients with ascending aortic dilatation. The findings could be used for the identification of high-risk patients in the future. In ascending aortic dilatation, the aorta progressively dilates due to the...

Nasal vaccines promise to stop the COVID-19 virus before it gets to the lungs – an immunologist explains how they work Publicado: 14 diciembre 2022 14:14 CET Autoría Michael W. Russell Professor Emeritus of Microbiology and Immunology, University at Buffalo The Pfizer-BioNTech and Moderna mRNA vaccines have played a large role in preventing deaths and severe infections from COVID-19. But researchers are still in the process of developing alternative approaches to vaccines to improve their effectiveness, including how they’re administered. Immunologist and microbiologist Michael W. Russell of the University at Buffalo explains how nasal vaccines work, and where they are in...

Patients suffering with hard-to-treat depression may get relief from noninvasive magnetic brain stimulation Autoría Patricia Junquera Associate Professor and Vice Chair of Clinical Services, Florida International University Not only is depression a debilitating disease, but it is also widespread. Approximately 20 million adult Americans experience at least one episode of depression per year. Millions of them take medication to treat their depression. But for many, the medications don’t work: Either they have minimal or no effect, or the side effects are intolerable. These patients have what is called treatment-resistant depression. One promising treatment for such patients is a type of brain...

Treating mental illness with electricity marries old ideas with modern tech and understanding of the brain – podcast   Autoría Daniel Merino Assistant Science Editor & Co-Host of The Conversation Weekly Podcast, The Conversation Gemma Ware Editor and Co-Host, The Conversation Weekly Podcast, The Conversation Entrevista Jacinta O'Shea Associate Professor and Wellcome/Royal Society Sir Henry Dale Fellow, University of Oxford Joseph J. Fins The E. William Davis Jr, M.D. Professor of Medical Ethics and Professor of Medicine at Weill Cornell Medicine, Cornell University Rachel A. Davis Associate Professor of Psychiatry and Neurosurgery, University of Colorado Anschutz Medical Campus Mental illnesses such...

Poor glycemic control in patients with type 2 diabetes can be predicted from patient information systems with the help of machine learning The risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine learning methods, a new study from Finland finds. The most important factors predicting glycemic control include prior glucose levels, duration of type 2 diabetes, and the patient’s existing anti-diabetic medicines. The researchers examined glycaemic control in patients with type 2 diabetes in North Karelia, Finland, over a period of six years. Patients’ glycemic control was determined on the...