Yale School of Medicine launches Yale Biomedical Imaging Institute, a cross disciplinary hub accelerating discovery
Yale School of Medicine has announced the launch of the Yale Biomedical Imaging Institute, a cross disciplinary hub aiming to accelerate discovery and impact in medicine.
The new Yale Biomedical Imaging Institute is said to be one of only a few such institutes in the U.S.
Yale Biomedical Imaging Institute will bring together experts in imaging technology, clinical translation and data science aiming to drive innovation in biomedical imaging to improve understanding of human health and advance the treatment of disease.
"The Yale Biomedical Imaging Institute brings together world-class talent and resources to accelerate discovery and impact across medicine," explains Georges El Fakhri, PhD, Elizabeth Mears and House Jameson Professor of Radiology and Biomedical Imaging and of Biomedical Informatics and Data Science and the institute's inaugural director.
"We are incredibly excited to see the Yale Biomedical Imaging Institute come to fruition and look forward to seeing its positive impact across disciplines for years to come."
The institute aims to:
Create novel biomedical imaging technologies across diverse modalities
Translate discoveries to guide diagnostics and therapies
Apply artificial intelligence and data science to enhance research and clinical care
"There is an unparalleled opportunity at Yale to establish a world-class imaging institute based on the strength of its existing programs," adds Brian Smith, MD, Deputy Dean for Research (clinical and translational).
The institute will support research in brain, cancer, cardiovascular, and inflammation imaging, while also expanding efforts in early disease detection.
The launch follows a year-long planning initiative led by Yale School of Medicine’s Dean Nancy J. Brown, MD, El Fakhri, Liu, and Douglas Rothman, PhD. After more than 40 listening sessions with Yale's science and engineering communities, the team found strong enthusiasm for a coordinated approach to biomedical imaging.
Data science will play a central role with researchers at the institute using deep learning to process and share vast imaging datasets, which it says will benefit both Yale investigators and the wider research community.
