Company Filing History:
Years Active: 2025
Title: Milica Medved: Innovator in MRI Data Analysis
Introduction
Milica Medved is a prominent inventor based in Chicago, IL (US). She has made significant contributions to the field of medical imaging, particularly in the characterization of lesions using advanced MRI techniques. Her innovative work has the potential to enhance the diagnosis and treatment of tumors.
Latest Patents
Milica Medved holds a patent titled "Characterization of lesions via determination of vascular metrics using MRI data." This patent discloses approaches to non-invasively characterize a tumor or other lesion in a region of interest (ROI) based on various analyses of magnetic resonance imaging (MRI) data. The MRI data may correspond to ultrafast dynamic contrast enhanced MRI (DCE-MRI) and high spatial resolution DCE-MRI scans, as well as diffusion-weighted MRI (DW-MRI) scans of the ROI. The patent outlines methods for determining vasculature metrics and obtaining tumor-associated blood flow velocity and/or tumor interstitial pressure using these metrics as inputs to a computational fluid dynamics model. A combination of morphological vascular metrics and functional vascular metrics is utilized to characterize the tumor, allowing for the assessment of malignancy, aggressiveness, treatment response, and other features of tumors or lesions in the breast or other regions of a patient.
Career Highlights
Throughout her career, Milica has worked with esteemed institutions, including the University of Texas System and the University of Chicago. Her research has focused on leveraging MRI technology to improve patient outcomes in oncology.
Collaborations
Milica has collaborated with notable professionals in her field, including Thomas Yankeelov and Gregory Karczmar. Their joint efforts have contributed to advancements in medical imaging and tumor characterization.
Conclusion
Milica Medved's innovative work in MRI data analysis exemplifies the impact of technology on healthcare. Her contributions are paving the way for improved diagnostic methods and treatment strategies for patients with tumors.