A team of researchers at Penn State College of Medicine and collaborators from five institutes have developed a new 3D atlas of developing mice brains using advanced imaging and microscopy techniques. The new high-resolution maps of the mouse brain will help advance the understanding of brain development and the study of neurodevelopment disorders. 

Source: Penn State Research News

NIBIB bioengineer Kaitlyn Sadtler has flourished as a leader of many impactful, interdisciplinary studies. For her role in shaping the future of medical research, TIME magazine has named Kaitlyn Sadtler to the TIME100 Next 2024 List.

NIBIB-funded researchers are working to bring in vivo gene editing to the fore. Through rational engineering of lipid nanoparticles, this collaborative team developed a way to effectively target specific organs in the body to precisely deliver therapeutic cargo, including gene-editing molecules. Their research demonstrated that a one-time treatment with their nanoparticles resulted in durable gene editing in mouse lungs for nearly two years. Further, their technique showed promise in correcting a mutation present in a currently untreatable form of cystic fibrosis in several models of the disease.

Labs that can’t afford expensive super-resolution microscopes could use a new expansion technique to image nanoscale structures inside cells. Source: MIT News

As strains of pathogens resistant to frontline antibiotics become more common worldwide, clinicians are more often turning to combination treatments that degrade this resistance as a first treatment option.

Researchers from Duke University have discovered the mechanism behind why some antibiotic-resistant pathogens haven't adapted to the combination treatments—the bacteria’s level of “selfishness.” The insight provides guidance to clinicians on how to best tailor these combination treatments to different pathogens, minimize the selection for resistance and formulate new antibiotic resistance inhibitors.  Source: Duke University Pratt School of Engineering

Research into harnessing the immune system to encourage injured tissue to regenerate has landed a Maryland researcher on a TIME magazine list of 2024 innovators. During a WTOP visit to the lab she leads at the National Institute of Biomedical Imaging and Bioengineering, researcher Kaitlyn Sadtler, explained its goal is to understand the immune system’s role in wound healing and how it could be leveraged by medical technology to regenerate tissue.

Using smartly trained neural networks, researchers at the University of Technology Graz funded in part by NIBIB have succeeded in generating precise real-time images of the beating heart from just a few MRI measurement data. Other MRI applications can also be accelerated using this procedure. Source: TU Graz News

As AI is deployed in clinical centers across the U.S., one important consideration is to assure that models are fair and perform equally across patient groups and populations. To better understand the fairness of medical imaging AI, researchers trained over 3,000 models spanning multiple model configurations, algorithms, and clinical tasks. Their analysis of these models reinforced some previous findings about bias in AI algorithms and uncovered new insights about deployment of models in diverse settings.

UCLA researchers have developed a deep-learning framework that teaches itself quickly to automatically analyze and diagnose MRIs and other 3D medical images – with accuracy matching that of medical specialists in a fraction of the time.  Source: UCLA Computational Medicine News