2013 CTSI UNYTE Translational Research Network Awardees

Two URMC faculty members earned CTSI UNYTE Translational Research Network pilot awards for 2013-2014. The CTSI’s UNYTE program offers investigators one year awards for up to $50,000, which supports research projects that bring together institutions in and around Upstate New York to share research resources and promote collaborative research.  Click here to see the newly-released RFA for 2014 pilot awards. The 2013 UNYTE awardees are:

bernstein

Steven Bernstein, MD

Professor of Medicine (Hematology and Oncology)

Lymphoma and its microenvironment; a novel in vivo model to study its interplay

Follicular lymphoma is an incurable disease with conventional therapy and thus new approaches for
treatment are needed. As the lymphoma cells require signals from the other non-malignant cells in the tumor
(the tumor microenvironment) to survive, targeting such interactions represents a novel approach for treatment. For this to occur however, it is imperative to understand what such interactions are and this is the goal of this project. Dr. Bernstein will collaborate with Dr. Richard Bankert, MD, Professor of Medicine (Microbiology and Immunology) at SUNY Buffalo.

Ankur Chandra

Ankur Chandra, MD

Assistant Professor of Surgery (Vascular Surgery)

Regional Ultrasound Wall Strain Measurements to Predict Risk of AAA Rupture

Two-hundred thousand new Abdominal Aortic Aneurysm (AAA) cases are diagnosed each year in the United States; fifteen thousand people die from AAA rupture each year, making it the 13th leading cause of death in this country and affecting 1 in 250 individuals over 50 years of age. The exact cause of AAA formation is still unknown, although many theories base their pathogenesis as a multifactorial cause. Creating a “strain fingerprint” to determine the probability of a rupture is a viable new option that could significantly decrease AAA deaths.The project goal is to develop a novel application of existing ultrasound strain algorithms as a transcutaneous imaging modality to predict the risk of AAA rupture, regardless of size. Dr. Chandra will collaborate with Steven Day, PhD, Associate Professor of Mechanical Engineering, and Daniel Phillips, PhD,  Director of the Biomedical Engineering Program at the Rochester Institute of Technology,

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