2020.01.01 - MRTD Team secures $60,000 ITM Pilot Award
/MRTD Lab team’s proposal for the development of AI systems safeguards have been selected for a $60,000 ITM Pilot Award.
MRTD Lab team’s proposal for the development of AI systems safeguards have been selected for a $60,000 ITM Pilot Award.
The MRTD Lab team has secured a one-year JDRF award in collaboration with Profs. Ali Cinar and Mudassir Rashid, both in ChBE!
Professor Kawaji has received the NIH K25 award, a five-year $830,000 quantitative mentored research grant in the technical development and clinical translation of a potentially important biomarker to measure the amount of oxygen utility in the heart. The NIH K25 is a mechanism that allows faculties such as Dr. Kawaji to develop specific expertise while working with senior faculty colleagues. For the NIH K25, Drs. Tim Carroll PhD (UofC Radiology), Amit Patel MD (UofC Medicine - Cardiology), and Konstantinos Arfanakis (IIT BME) will serve as senior mentors.
Dr. Kawaji’s K25 committee additionally consists of: Drs. John Georgiadis PhD (IIT BME Chair), Roberto Lang MD (UofC Medicine - Cardiology), Takeyoshi Ota MD PhD (UofC Surgery - Cardiothoracic Surgery), John Blair MD (UofC Medicine - Cardiology), and Ajit Devaraj PhD (Philips, Senior Scientist).
Professors Marcella Vaicik and Keigo Kawaji have received a two-year, $154,000 award from the American Heart Association (AIREA) for running a research and education program to develop future biomedical engineers in the discovery and validation of novel tissue biomarkers for diseases in the heart and the brain.
Through this award, the IIT-BME team will initiate the AHA Challenges - a one-year program for both undergraduate and graduate students to pursue research and develop technical skills in tissue model design, validation, and novel imaging technology development.
We have just received a one-year CTSA Core Subsidy award for the project entitled:
"Towards Deep Neural-Net Analysis of Clinical Cardiac MR Database"
This award will help establish an initial 400-500 subject Cardiac MRI Database that consists of anonymized research MRI datasets that will allow our MRTD research team and collaborators to conduct emerging research studies that involve new analysis methods using Neural Networks.
--MRTD-Keig
Magnetic Resonance Technology Discovery Laboratory
Search within site:
Powered by Squarespace.