MedTech News
.................... by Andrew Celentano
Philips gets FDA green light for scanner platform
Philips (NYSE:PHG) announced today that it received FDA 510(k) clearance for its Rembra platform of scanning systems.
Sonorous Neurovascular earns FDA clearance for next-gen neurovascular catheter
Sonorous Neurovascular announced today that it received FDA 510(k) clearance for its BosCATH next-generation neurovascular catheter.
Luminoah wins FDA clearance for enteral feeding pump system
Luminoah announced today that it received FDA clearance for Luminoah Flow, an enteral feeding system for those who rely on tube feeding.
Advanced imaging uncovers immune cells’ changing role during glioblastoma invasion
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.
Single-cell tool predicts cancer survival by pinpointing harmful tumor cells
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.
Chaotic heartbeat patterns track brain activity more clearly than conventional signals, researchers report
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.
Creating a wireless tissue-aware medical device network in the human body
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.
AI can use a photo of the eye to estimate retinal age, flag risk for major diseases
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