A method to generate homogenous and stable inorganic nanoparticles (NPs) using a microfluidic device with two jet inlets.
A rapid, radiation-free magnetic resonance imaging (MRI) method that simultaneously captures bone-selective (pseudo-CT) bone images and high-resolution T1- and T2-weighted soft-tissue images in a single, self-registered 3D scan.
A method of CT imaging where the techniques of using non-circular orbits around the target and spectral imaging are combined resulting in fewer metal artifacts and higher image quality.
A reconstruction algorithm based on a generative diffusion model for multi-coil, highly undersampled non-Cartesian MRI allowing drastic reduction of scan time
A machine learning technique that identifies biomarkers from neuroimaging data, allowing for identification and treatment of populations vulnerable to neurodegenerative diseases.
Range modulators with variable density enhancing precision to control dosage and spatial distribution of radiation.
Small molecules that bind to alpha-synuclein deposition and can be used for PET imagining in patients with synucleinopathies
AAR-DL (Automatic Anatomy Recognition – Deep Learning) is a hybrid intelligence recognition and delineation segmentation model that outputs automatically delineated organs in medical images by combining natural intelligence’s (i.e., human knowledge’s) and artificial intelligence's strengths to map organs and their boundaries in the given images.
A nuclear magnetic resonance (NMR) based enzyme-detection system comprising xenon (129Xe) biosensors complexed with an enzyme-specific peptide substrate.
Radio-sensitizing compounds for glioblastoma and other solid cancer