Researchers at EPFL, Heidelberg University and Roche have built a human mini-bladder to show how urine composition weakens bladder tissue, helping infections recur even after antibiotics. The work was led by John McKinney (EPFL) Matthias Lütolf (Roche Institute of Human Biology/EPFL), and Vivek Thacker (Heidelberg University) and is now published in Nature Communications.
Neuroscientist Soha Farboud of the Donders Institute at Radboud University has succeeded in adjusting activity in specific brain areas using a new technique. With ultrasonic brain stimulation, she was able to influence whether people chose to look left or right. A key advantage of ultrasound is that, unlike existing methods, it can safely reach deep brain regions from outside the skull.
Subtle changes in how blood flows through the brain and how brain tissue uses oxygen may be closely linked to Alzheimer’s disease risk, according to new research from the Mark and Mary Stevens Neuroimaging and Informatics Institute (Stevens INI) at the Keck School of Medicine of USC.
Never-before-seen 3D reconstructions of human liver tissue have been created at a cellular level. The details obtained by a team of UW Medicine and University of Washington engineers and physicians capture the spatial microstructure of multiple lobes of this multitasking organ.
In laboratory experiments, researchers have produced ear cartilage that remains form-stable in animal models. Only one element is missing to make the tissue as elastic as a natural ear.
Researchers at Tezpur University in Assam, India, working with scientists at the University of Illinois Urbana-Champaign, have identified distinct chemical signatures in blood that could help detect gallbladder cancer earlier. This is important in cancer patients with and without gallstones, two groups that often require different diagnostic approaches.
Recent technological advances have opened new possibilities for the development of advanced medical devices, including tiny robots that can safely move inside the human body. Some of these systems could help to simplify complex medical procedures, including delicate surgeries and the targeted delivery of drugs to specific sites.
One way cancer specialists detect the disease is by examining cells and bodily fluids under a microscope, a time-consuming and labor-intensive process called cytology. It involves visually inspecting tens of thousands to one million cells per slide for subtle 3D morphological changes that might signal the onset of cancer. But AI offers an approach that is potentially faster and more accurate.
Researchers from several partner institutions of the German Center for Diabetes Research (DZD) have collaborated with international colleagues to develop a new approach for visualizing subtle tissue changes in the pancreas in type 2 diabetes. The results provide new insights into the development of type 2 diabetes. The study has now been published in Nature Communications.
Using machine learning, an electronic nose can “smell” early signs of ovarian cancer in the blood. The method is precise and, according to the LiU researchers behind the study, it could eventually be used to find many different cancers. The study is published in Advanced Intelligent Systems.