Coulter Funded Projects


UVA-Coulter builds networks of relationships around our researchers, connecting them with veteran entrepreneurs, investors and experts in such fields as clinical trials, regulation, and patents and licensing. Because every new technology has its own requirements and follows its own path to the marketplace, we approach each project differently. The exchange of ideas, insight and information is the engine that moves innovative technologies from university laboratories to the marketplace. We now have twelve years’ experience taking biomedical innovations born in the academic environment and translating them into practical use.

  • Coulter Team led by Don Griffin
  • Coulter Project in the NICU


     

  • Cerillo World's Smallest Multiwell Plate Reader

Projects Funded for 2019-2020

  • Recombinant Immunogen Bacterial Vaccines

    Recombinant Immunogen Bacterial Vaccines

    Mark Kester, Ph.D. (Pharm/BME) and Steven Zeichner, M.D., Ph.D. (Pediatrics)


    Safe and effective vaccines for important pathogens exist, but there still no safe and effective vaccines for many other important pathogens. Among important diseases that lack effective vaccines are those caused by enveloped viruses, e.g. HIV and influenza. Neutralizing antibodies made against enveloped viruses typically target viral envelope proteins present on the virion envelope surface in the context of the envelope’s lipid bilayer. This project will combine novel immunogen presentation with synthetic biology to create a platform to develop new vaccines. 

  • Big Data Science at the Bedside

    Big Data Science at the Bedside

    Randall Moorman, M.D. (Cardiology), Karen Fairchild, M.D. (Pediatrics) and Tim Clark, Ph.D. (Data Science)


    The project centers on advanced analysis of Big Data captured from continuous cardiorespiratory monitoring, here in the special case of premature infants. The UVa Center for Advanced Medical Analytics has a unique opportunity to advance the field of predictive analytics monitoring through a new approach of highly comparative time series analysis, using the largest database of clinical and cardiorespiratory monitoring data extant, generated by 2 ongoing NIH multicenter grants. This will result in new families of algorithms for early detection of subacute potentially catastrophic illnesses.

  • Improved Electrocardiograms for Cardiac MRI

    Improved Electrocardiograms for Cardiac MRI

    Craig H. Meyer, Ph.D. (BME and Radiology) and Chris Kramer, MD (Cardiology and Radiology)


    Cardiac MR (CMR) provides a wealth of information, including images of cardiac anatomy and function, myocardial perfusion, and myocardial scarring after myocardial infarction. Central to CMR is the synchronization the acquisition of data to the heart cycle, so that the reconstructed images correspond to a particular time in the heart cycle. CMR data acquisition is typically synchronized to the heart cycle using an electrocardiogram (ECG). Acquiring an accurate ECG within the MRI scanner is difficult, and the most difficult problem is the presence of artifacts in the ECG. The overall goal of this project is to develop and validate a deep-learning-based method for correcting the ECG signal within a 3T MRI scanner, resulting in more reliable cardiac MRI.

  • Laryngeal reconstruction using microporous annealed particle hydrogel

    Laryngeal reconstruction using microporous annealed particle hydrogel

    Donald Griffin, Ph.D. (BME) and James Daniero, M.D. (Head and Neck Surgery)


    Validation of new injectible filler for the treatment of glottic incompetence and comparison of outcomes to the current standard. 

  • Low Field Cardiac and Lung MRI

    Low Field Cardiac and Lung MRI

    Craig Meyer, Ph.D. (BME and Radiology) and Michael Salerno M.D., Ph.D.(Cardiovascular Medicine/BME)


    This project focuses on determining whether it is possible to achieve better imaging for certain diagnostic tasks at a much lower field strength by combining modern high-end MRI scanner hardware with leading-edge MRI techniques. If it is possible, this could lead to manufacturers producing a new type of low field MRI scanner at lower cost, with greater compatibility with implantable devices, and with new diagnostic capabilities.  If successful, we plan to commercialize the technology first through a partnership with an MRI scanner manufacturer and then through licensing to other manufacturers.