Full-text search Fulltext search 14 Resultate AI diagnoses heart defects in babies An artificial intelligence (AI) developed by Zurich researchers recognises a specific heart defect in newborns. According to the researchers, it has the potential to reduce the number of missed diagnoses of pulmonary hypertension. Breakthrough in protein recognition - thanks to Deep Learning Proteins control most processes in living cells and are vital for humans. If it were possible to precisely determine all proteins in an organism, diseases such as Alzheimer's or cancer could be treated better and more individually. Researchers want to detect blood poisoning earlier using AI With the help of artificial intelligence (AI) a research team at the University Children's Hospital in Zurich has defined new criteria for the diagnosis of blood poisoning. This could improve the early detection of this dangerous disease. Switching drugs on and off with light Swiss researchers have filmed for the first time how a drug was activated in the body with light. This film could give the development of such drugs a decisive boost. Hand exoskeleton enables paralyzed people to grasp A spin-off from EPFL (Swiss Federal Institute of Technology Lausanne) has developed an exoskeleton that enables people with paralyzed hands to grasp and release objects again. Tests in hospitals and rehabilitation centers have already been successful. Does this AI think like a human? Researchers at MIT have developed a method that helps users understand how a machine learning model thinks and compare it to how a human thinks. New water filter removes pathogens A research team from the Swiss Federal Institute of Technology Lausanne (EPFL) has presented a prototype of a low-cost filter that efficiently decontaminates water using only sunlight. The device is intended to provide clean drinking water for people in regions with little electricity. New algorithms help with anesthesia Anesthetic drugs affect the brain. But to tell if a patient will remain unconscious during surgery, most anesthesiologists rely on heart rate, breathing rate and movement. Algorithms could improve this process.