Researchers from DZNE, University Hospital Bonn and the Cluster of Excellence ImmunoSensation at the University of Bonn have captured this infiltration process in the living brain with advanced microscopy.
Oregon Health & Science University researchers have developed a first-of-its-kind method to predict cancer patient survival using advanced molecular data from individual cells.
A team of researchers at Kyoto University have demonstrated that the chaotic component of heartbeat variability is uniquely sensitive to cognitive brain activity. Conventional heart rate variability, HRV, indices show no consistent response, whereas chaos-based measures reveal clear and reproducible changes, providing a new noninvasive indicator of brain-heart interaction.
A research group led by Associate Professor Takumi Kobayashi and Professor Daisuke Anzai at the Graduate School of Informatics, Osaka Metropolitan University, focused on optimizing signal transmission separately for each frequency, allowing multiple implants to coordinate their signals using ultra-wideband (UWB) communication.
A research group led by Professor Toru Nakazawa at the Tohoku University Graduate School of Medicine has developed an artificial intelligence (AI) model that estimates “retinal age,” an indicator reflecting an individual’s biological aging, from a single fundus photograph of the retina
A research team led by The Hong Kong University of Science and Technology (HKUST) has developed a pioneering artificial intelligence (AI) pathology analysis system that can accurately recognize multiple types of cancer using only a minimal number of samples.
Researchers led by Henry Daniell of the School of Dental Medicine have shown that extracts from bioengineered chewing gum reduce the levels of three microbes known to be associated with head and neck squamous cell cancer (HNSCC), paving the way for more effective and affordable therapies.
Researchers conducted the OSPREY (treating Obstructive Sleep aPnea using taRgEted hYpoglossal nerve stimulation) trial to better understand the safety and efficacy of pHGNS.
Together with a team from the University of Luxembourg, researchers from Heinrich Heine University Düsseldorf (HHU) and University Hospital Düsseldorf (UKD) have succeeded in utilizing artificial intelligence (AI) to establish a model that enables a better understanding of Leigh syndrome.
Scientists from Johns Hopkins Medicine report new evidence that clusters of brain tissue derived from the cells of patients with Alzheimer’s disease may be used to evaluate how certain patients with the neurodegenerative condition may respond to drugs commonly prescribed to treat psychiatric symptoms of the disorder.