/Mount Sinai Launches Center for Artificial Intelligence and Human…

Mount Sinai Launches Center for Artificial Intelligence and Human…

Mount Sinai Health System Launches Telehealth Initiatives_Mount Sinai Launches EHR-Integrated Imaging Research Warehouse

The Icahn School of Medicine at Mount Sinai today announced the launch of a new center dedicated to advancing the delivery of health care through research, development, and implementation of innovative artificial intelligence tools and technologies. The Hamilton and Amabel James Center for Artificial Intelligence and Human Health in Manhattan to combine artificial intelligence with data science and genomics in a standalone site. The building will enable researchers to enhance their understanding, diagnosis, and treatment of human diseases—including the most debilitating—and promote improved health and well-being.

Inception of Center

Thanks to a generous donation from Hamilton Evans ‘Tony’ and Amabel James, the interdisciplinary center is projected to open in late 2021. Mr. James is the Executive Vice Chairman of Blackstone, a New York-based investment firm. The new Center will open with approximately 40 principal investigators, and 250 graduate students, postdoctoral fellows, computer scientists, and support staff.

Mount Sinai clinicians and investigators have been early adopters of artificial intelligence and currently use the technology in many different initiatives in precision medicine. AI technology is helping to characterize tissue samples of patients with prostate cancer, for example, and is being used to assist Mount Sinai doctors in identifying and prioritizing patients at risk for developing diseases and hazards such as falling.

Center for Artificial Intelligence and Human Health Focus Areas

The Hamilton and Amabel James Center for Artificial Intelligence and Human Health will focus on three key areas: 

Center for Genomic Health— The new Center for Genomic Health—to be housed in the new Center for Artificial Intelligence and Human Health building—is accelerating the integration of genomics into clinical care throughout the Mount Sinai Health System. “Our goal is to use artificial intelligence to translate vast knowledge from deep databases of genomic information to improve the lives of every patient at Mount Sinai,” said Eimear Kenny, PhD, Founding Director of the Center for Genomic Health and Associate Professor of Medicine, (General Internal Medicine), and Genetics and Genomic Sciences. “The new building will bring together a generation of scientists and physicians who are trained in big data and artificial intelligence—tools that can that can enable the development of precise genomic tests and increasingly sophisticated ways to integrate genomic information into routine patient care,” said Noura Abul-Husn, MD, PhD, Clinical Director of the Center for Genomic Health and Senior Faculty of Medicine, (General Internal Medicine), and Genetics and Genomic Sciences at Icahn School of Medicine at Mount Sinai.

Integrative Omics and Multi-Scale Disease Modeling— Artificial intelligence and machine learning approaches developed at the Icahn Institute have been extensively used for identification of novel pathways, drug targets, and therapies for complex human diseases such as cancer, Alzheimer’s, schizophrenia, obesity, diabetes, inflammatory bowel disease, and cardiovascular disease. Researchers will combine insights in genomics—including state-of-the-art single-cell genomic data—with ‘omics,’ such as epigenomics, pharmacogenomics, and exposomics, and integrate this information with patient health records and data originating from wearable devices in order to model the molecular, cellular, and circuit networks that facilitate disease progression. “Novel data-driven predictions will be tightly integrated with high-throughput experiments to validate the therapeutic potential of each prediction,” said Adam Margolin, PhD, Professor and Chair of the Department of Genetics and Genomic Sciences and Senior Associate Dean of Precision Medicine at Mount Sinai. “Clinical experts in key disease areas will work side-by-side with data scientists to translate the most promising therapies to benefit patients. We have the potential to transform the way care givers deliver cost-effective, high quality health care to their patients, far beyond providing simple diagnoses. Mount Sinai wants to be on the frontlines of discovery.”

Precision Imaging—Researchers will use artificial intelligence to enhance the diagnostic power of imaging technologies—X-ray, MRI, CT, and PET—and molecular imaging, and accelerate the development of therapies. “We see a huge potential in using algorithms to automate the image interpretation and to acquire images much more quickly at high resolution – so that we can better detect disease and make it less burdensome for the patient,” said Zahi Fayad, PhD, Director of the Translational and Molecular Imaging Institute, and Vice Chair for Research for the Department of Radiology, at Mount Sinai. Dr. Fayad plans to broaden the scope of the Translational and Molecular Imaging Institute by recruiting more engineers and scientists who will create new methods to aid in the diagnosis and early detection of disease, treatment protocol development, drug development, and personalized medicine. Dr. Fayad added, “In addition to AI, we envision advance capabilities in two important areas: computer vision and augmented reality, and next generation medical technology enabling development of new medical devices, sensors and robotics.”

By bringing a cross-section of researchers together in one dedicated space, the new Hamilton and Amabel James Center for Artificial Intelligence and Human Health is expected to foster ideas that will significantly advance treatments.

Mount Sinai has consistently been at the forefront of advancing health care across medical disciplines and this initiative represents our next step forward in building on that legacy,” said Kenneth L. Davis, MD, President and Chief Executive Officer of the Mount Sinai Health System. “We see the potential of artificial intelligence to radically transform the care that patients receive, and we want to shape and lead this effort. We are grateful to Mr. and Mrs. James for their generous gift, which will create a hub where our talented researchers can collaborate in unprecedented ways and bring forward ideas and innovative technologies that achieve better outcomes for our patients.”

<!–

–>

Original Source