Bei Wang Receives DOE Award
Wang’s project, titled “Topology-Preserving Data Sketching for Scientific Visualization,” will conduct a study of topology-preserving data sketching techniques to improve visual exploration and understanding of large scientific data.
Genome-wide Pattern Found in Tumors from Brain Cancer Patients Predicts Life Expectancy
For the past 70 years, the best indicator of life expectancy for a patient with glioblastoma (GBM) — the most common and the most aggressive brain cancer — has simply been age at diagnosis. Now, an international team of scientists has experimentally validated a predictor that is not only more accurate but also more clinically relevant: a pattern of co-occurring changes in DNA abundance levels, or copy numbers, at hundreds of thousands of sites across the whole tumor genome.
SCI Students Bring A-Game to Summer Conferences
SCI Awarded COVID-19 Seed Grant
The project entitled AI/CXR Early Warning System for Infectious Respiratory Disease Outbreaks, proposes to research an early warning system for novel respiratory infectious disease outbreaks based on automated emerging cluster analysis of routine chest x-rays (CXR) using Artificial Intelligence/Machine Learning (AI/ML) and furthermore, to the use data collected during the COVID-19 pandemic to validate our proposed models.
ViSUS Utilized in Understanding COVID-19
SCI Institute and CEDMAV alumnus, Brian Summa has been working with colleagues at Tulane University to study the effects of COVID-19 on lung tissue. This research is made possible using ViSUS to analyze high resolution histological volumes too large to visualize with other software.
Chris Johnson and Chuck Hansen Inducted into The IEEE Visualization Academy
Every Breath You Take
Shortening Treatment for Lung Cancer Patients
New research at the Scientific Computing and Imaging Institute at the University of Utah, helps to precisely target tumors in lung cancer patients using artificial intelligence. Employing algorithms developed by Sarang Joshi, DSc, professor of Biomedical Engineering and graduate student Markus Foote in collaboration with Amit Sawant, PhD, at the University of Maryland, Baltimore, and radiation oncologists will be able to predict movement in lung tumors as the patient breathes in real-time with a 3D motion model.Announcing Intel Graphics and Visualization Institutes of XeLLENCE
- Scientific Computing and Imaging Institute (SCI) at University of Utah, supported by Dr. Chris Johnson.
- Texas Advanced Computing Center (TACC) at University of Texas, Austin with Kitware, Inc, supported by Dr. Paul Navratil and Dr. Berk Geveci.
- Visualization Institute of the University of Stuttgart (VISUS), supported by Dr. Ing. E. h. Thomas Ertl and Dr. rer. nat. Guido Reina.
HCI Announces Computational Oncology Research Initiative (CORI)
Sarang Joshi Elected as a Fellow of the American Institute for Medical and Biological Engineering (AIMBE)
Fellows are nominated each year by their peers and represent the top 2% of the medical and biological engineering community. They are considered the life-blood of AIMBE and work towards realizing AIMBE's vision to provide medical and biological engineering innovation for the benefit of humanity.