External R&D Collaborations
The School of Applied Computational Sciences is applying faculty expertise to the following cutting-edge research and development projects that are improving our understanding of COVID-19, developing critical medical instruments, driving advancements in the diagnosis of measles, and harnessing mHealth data to help treatment of hematologic cancer patients and for early diagnosis and prediction of COVID-19 health risks.
We look forward to partnering with businesses and organizations from all industries. Dr. Todd Gary, director of community and external R&D partnerships, will work with you to apply our cutting-edge expertise to help solve your most pressing problems and advance your organizational goals. You may contact him at tpgary@mmc.edu or complete this form to begin a conversation about partnering with us.
National COVID-19 Data Consortium for Research Generation
SACS is a part of the COVID-19 Consortium of HCA Healthcare and Academia for Research Generation (CHARGE) consortium. Dr. Aize Cao, associate professor of biomedical data science, Dr. Todd Gary, director, community and research development and Dr. Fortune Mhlanga, dean and professor of computer science and data science, are part of the world-class team. They will research HCA’s extensive COVID-19 patient data sets to pursue improvements in COVID-19 diagnosis and treatment options to achieve a better public understanding of the disease. The CHARGE consortium project has been covered by Microsoft News and Healthcare IT News.
The development of a stand-alone, lightweight, noncontact Laser Ultrasound (ncLUS) imaging scanner
Dr. Aize Cao, associate professor of biomedical data science, Dr. Ashutosh Singhal, medical research, development and strategy director, and Dr. Todd Gary, director, community and research development, are providing their expertise and the School’s ADA supercomputer to help provide the computer science required to develop this important medical instrument. This project, if funded, would be led by Dr. Benjamin Harvey, chief technical officer at Forward Edge, who helped developed Johns Hopkins University’s world renown Mortality Risk Calculator that calculates the risk of mortality from COVID-19 in currently uninfected individuals based on input on a set of risk factors, and community-level pandemic dynamics in the state of residence (Nature.com). Dr. Harvey’s Covid-19 risk tool is used by more than one million Americans.
Measles Rash Identification Using Residual Deep Convolutional Neural Network
We are leveraging deep convolutional neural network (CNN) to identify measles rash, in an aim to develop a smartphone-based application in the future to assist physicians and patients alike in the diagnosis of the disease. Dr. Qingguo Wang, professor of computer science and data science, is among the faculty involved with this project that also includes William Schaffner, an internationally renowned infectious disease specialist and public health expert at Vanderbilt University Medical Center.
Related Scholarship: Measles Rash Identification Using Residual Deep Convolutional Neural Network
Harnessing the Mobile health (mHealth) technology for early detection of adverse clinical events in hematologic cancer patients
This project includes exploiting data captured from mHealth apps and wearables sensor devices and developing novel signal processing and machine learning algorithms for early detection of post-transplant complications and toxicities associated with CAR-T cell therapy for hematologic cancer patients.
Harnessing the Mobile health (mHealth) technology for early diagnosis and prediction of COVID-19 patients
This project includes exploiting data captured from mHealth apps, wearable sensor devices, longitudinal health outcomes (patient-reported outcomes, survey questionnaire), and other test results for early diagnosis and prediction of COVID-19 risk among health care workers and students.
Dr. Vibhuti Gupta, assistant professor of computer science and data science, is collaborating with Sung Won Choi, associate professor of pediatrics, and Muneesh Tewari, Ray and Ruth Anderson-Laurence Sprague Memorial Research Professor, both with the University of Michigan, on both projects.