Mount Sinai Center to Combine AI, Data Science, Genomics

Nov. 26, 2024
Facility will initially house approximately 40 principal investigators, alongside 250 graduate students, postdoctoral fellows, computer scientists, and support staff

The Mount Sinai Health System has opened a center that will combine artificial intelligence with data science and genomics in a location at the center of the campus of the Mount Sinai Hospital in Manhattan.

The health system said the Hamilton and Amabel James Center for Artificial Intelligence and Human Health is dedicated to enhancing healthcare delivery through the research, development, and application of innovative AI tools and technologies. The 12-story, 65,000-square-foot facility will initially house approximately 40 principal investigators, alongside 250 graduate students, postdoctoral fellows, computer scientists, and support staff.

“By integrating AI technology across genomics, imaging, pathology, electronic health records, and beyond, Mount Sinai is revolutionizing doctors’ capacity to diagnose and treat patients, reshaping the future of health care. Mount Sinai has been at the forefront of AI research and development in health care, and now we stand as one of the first medical schools to establish a dedicated AI research center,” said Eric Nestler, M.D., Ph.D., director of the Friedman Brain Institute, in a statement. He is also the dean for Academic and Scientific Affairs and Nash Family Professor at Mount Sinai and chief scientific officer at Mount Sinai Health System. “As AI technology is evolving rapidly, this moment is critical for maintaining leadership in digital health. The Hamilton and Amabel James Center for Artificial Intelligence and Human Health will cultivate an optimal environment for researchers to deepen their understanding, diagnosis, and treatment of human diseases—including the most debilitating—and to advance overall health and well-being,” he added.

To construct the new AI center, Mount Sinai modernized an existing building to meet contemporary standards, including updating the facade to align with the aesthetic of other campus buildings. Within the 12 floors of the center, eight will be dedicated to Mount Sinai’s AI initiatives. These core facilities include:
• The Windreich Department of AI and Human Health, which focuses on creating an “AI Fabric” that will integrate machine learning and AI-driven decision-making throughout the health system’s eight hospitals.
• The Hasso Plattner Institute for Digital Health at Mount Sinai (HPI•MS), formed in 2019 through a collaboration with the Hasso Plattner Institute for Digital Engineering in Germany, which aims to enhance capabilities in data science, biomedical and digital engineering, machine learning, AI, and wearable technology. In 2024, the Hasso Plattner Foundation renewed its support of HPI•MS for the next five years.
• The Institute for Genomic Health and Division of Medical Genetics, which leads the effort to harness the power of genomic discovery to develop new ways to prevent and treat diseases, including cancers, heart problems, and genetic disorders.
• The Biomedical Engineering and Imaging Institute, focused on the use of multimodality imaging for brain, heart, and cancer research, along with research in nanomedicine for precision imaging and drug delivery.
• The Institute for Personalized Medicine, which launched the human genome sequencing research project called the Mount Sinai Million Health Discoveries Program, which aims to enroll 1 million racially and ethnically diverse patients, advance precision medicine research, and improve patient care.

 

Sponsored Recommendations

How to Build Trust in AI: The Data Leaders’ Playbook

This eBook strives to provide data leaders like you with a comprehensive understanding of the urgent need to deliver high-quality data to your business. It also reviews key strategies...

Quantifying the Value of a 360-Degree view of Healthcare Consumers

To create consistency in how consumers are viewed and treated no matter where they transact, healthcare organizations must have a 360° view based on a trusted consumer profile...

Elevating Clinical Performance and Financial Outcomes with Virtual Care Management

Transform healthcare delivery with Virtual Care Management (VCM) solutions, enabling proactive, continuous patient engagement to close care gaps, improve outcomes, and boost operational...

Examining AI Adoption + ROI in Healthcare Payments

Maximize healthcare payments with AI - today + tomorrow