A collaborative NIH-funded team is using AI to mine common chest CT scans to predict mortality. Their research identified a collection of cardiac factors that were predictive of death in a large group of patients, potentially setting the stage for improved cardiac screening.

Inspired by past medical uses of natural, inorganic materials, Texas A&M University researchers, with support from NIBIB, have discovered a new technique for tissue regeneration using mineral-based nanomaterials. Source: Texas A&M

Researchers from Mass General Brigham and their collaborators present Tripath: new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions. In collaboration with the University of Washington, the research team imaged curated prostate cancer specimens, using two 3D high-resolution imaging techniques. Tripath performed better than pathologists and outperformed deep learning models that rely on 2D morphology and thin tissue slices. Source: Mass General Brigham

Measuring heart rate or body temperature may sound easy, but retrieving the data from small animals with bulky traditional tech is difficult, especially during behavioral tests, which are critical for understanding brain disorders. Thanks to a recent study, the animal data is now in reach.

A new study involved high-resolution scans that enabled the researchers to visualize brain connections at submillimeter spatial resolution. Together, these pathways form a 'default ascending arousal network' that sustains wakefulness in the resting, conscious human brain.  Source: Massachusetts General Hospital

Malignant primary brain tumors are the leading cause of cancer deaths among children and young adults with few therapeutic options. A preclinical study in Pharmaceutics shows that combining focused ultrasound with microbubbles opened the blood brain barrier to deliver immunotherapy into the brain of a large animal model.

Penn State researchers have discovered two proteins that differentiate stem cells into the components of blood vessels. The finding has implications for drug testing and other clinical applications. Source: Penn State

If there were an unofficial theme of SIR 2024, it might be artificial intelligence—what it is, when to use it and where it might go next. From dedicated sessions to keynote lectures, the possibility of AI and robotics in interventional radiology was a frequent discussion. According to Bruce J. Tromberg, AI is changing the way physicians practice medicine. Source: SIRToday

Researchers developed a wireless implantable device that can monitor bladder filling and emptying in real time and send data to a smartphone. With further development, this type of device could help monitor recovery after bladder surgery and aid patients who have compromised bladder function. Source: NIH Research Matters