The future of Medicine will be shaped by the emergence of the next generation of biomedical engineering disciplines that leverage the exponential increase in data and combine it with the computational power to interrogate it, model it, visualize it, built it into machines, and to commercialize it for deployment.
Throughout Mount Sinai, there exist the seeds of a robust biomedical engineering research, design, translation, and entrepreneurship community. To these ends, the Translational and Molecular Imaging Institute (TMII) will be expanded and rebranded into a new BioMedical Engineering and Imaging Institute (BMEII)
BMEII will attracts field-leading faculty, develops unique research and training programs attracting the best medical and graduate students and young innovators, and generate new grants, intellectual property and novel opportunities in entrepreneurship for the Mount Sinai Health System. The BMEII at Mount Sinai is a center of excellence in innovation, training and entrepreneurship in the new fields critical to this transformation of Medicine in addition to the already existing strong imaging and nanomedicine programs within TMII. These new programs will be in: 1) Artificial Intelligence/machine learning (AI/ML); 2) Next generation medical technologies (devices, sensors, and robotics); and 3) Computer vision, virtual and augmented reality.
Research and technology development
at the atomic, molecular, or
Developing and using noninvasive imaging methods
that allow the early detection, prevention, and treatment
of cardiovascular disease
Clinical Trials Unit
A modern hybrid between a contract research
organization and an imaging core
Imaging Research Warehouse
A massive image database, developed by
BMEII, is the first of its kind in New York City
Led by Robert Hirten, MD and Zahi Fayad, PhD, the study draws upon the collaborative efforts of the Mount Sinai COVID Informatics Center (MSCIC) and is open to all employees in the health system. It uses a unique phone App to administer questions and collect data from...
Technology may lead to rapid diagnosis based on CT scans and patient data Mount Sinai researchers are the first in the country to use artificial intelligence (AI) combined with imaging, and clinical data to analyze patients with coronavirus disease (COVID-19). They...
Center aims to create state-of-the-art medical technology to transform patient care The Mount Sinai Health System announced the creation of the Biomedical Engineering and Imaging Institute (BMEII), the first of its kind in New York City, and one of a few in the world....
Relation between resting amygdalar activity and cardiovascular events: a longitudinal and cohort study
Tawakol A, Ishai A, Takx RA, Figueroa AL, Ali A, Kaiser Y, Truong QA, Solomon CJ, Calcagno C, Mani V, Tang CY, Mulder WJ, Murrough JW, Hoffmann U, Nahrendorf M, Shin LM, Fayad ZA, Pitman RK 2017 Jan 12 · Lancet
Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging
Hectors SJ, Wagner M, Bane O, Besa C, Lewis S, Remark R, Chen N, Fiel MI, Zhu H, Gnjatic S, Merad M, Hoshida Y, Taouli B 2017 May 26 · Sci Rep