AI for Healthcare and Medicine
Faculty
- Courant Institute School of Mathematics, Computing, and Data Science: Kyunghyun Cho, Sumit Chopra, Carlos Fernandez-Granda, Eran Halperin, Romain Lopez, Rajesh Ranganath, Lakshminarayanan Subramanian;
- NYU Grossman School of Medicine: Yindalon Aphinyanaphongs, Saul Blecker, Nadav Brandes, Sumit Chopra, Seth Gross, Leora Horwitz, Florian Knoll, Yvonne Lui, Charles Marmar, Nargez Razavian, Daniel Sodickson, Aristotelis Tsirigos;
- School of Global Public Health: Rumi Chunara, Joshua Epstein;
- Tandon School of Engineering: Rumi Chunara, Daniel Sodickson;
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Ai in Medicine and Genomics Lab
Our lab develops machine learning models and statistical approaches to improve detection and treatment of human disease. Our work spans different modalities, including genomic data, medical imaging, electronic health records, and physiological waveforms.
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Biological Machine Learning Group
The Biological Machine Learning Group, led by Romain Lopez, aims to advance the field of machine learning, and apply those techniques to enhance our understanding of biological systems. Our interdisciplinary research focuses on understanding the complex interactions and dynamics of cellular populations, particularly in the immune system, to drive discoveries in biology and medicine.
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Brandes Lab
The Brandes Lab develops and applies artificial intelligence, including genomic language modeling, to identify disease-causing mutations, enable early diagnosis and treatment, and understand our genomes.
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Center for Advanced Imaging Innovation and Research
The Center for Advanced Imaging Innovation and Research, or CAI2R (pronounced care), is a Biomedical Technology Resource Center funded by the The National Institute of Biomedical Imaging and Bioengineering (NIBIB) at National Institutes of Health, and operated by the Department of Radiology at NYU Langone Health.
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Center for Biomedical Imaging
Researchers at the Center for Biomedical Imaging at NYU Langone Health develop transformative imaging technologies to advance basic science and address unsolved clinical problems.
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Center for Healthcare Innovation and Delivery Science
The Center for Healthcare Innovation and Delivery Science (CHIDS) is a group of clinicians, researchers, educators, and administrators who work together to redesign healthcare. Our mission is to improve patient health and wellbeing by fostering the development of effective, efficient, and patient-centered healthcare systems at NYU Langone Health and nationally.
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Center for Urban Science + Progress (CUSP)
The Center for Urban Science And Progress (NYU CUSP) is a unique public-private research center that uses New York City as its laboratory and classroom to help cities around the world become more productive, livable, equitable, and resilient. CUSP observes, analyzes, and models cities to optimize outcomes, prototype new solutions, formalize new tools and processes, and develop new expertise/experts. These activities will make CUSP the world’s leading authority in the emerging field of “Urban Informatics.”
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Computational Intelligence, Learning, Vision, and Robotics (CILVR)
The CILVR Lab (Computational Intelligence, Learning, Vision, and Robotics) regroups faculty members, research scientists, postdocs, and students working on AI, machine learning, and a wide variety of applications, notably computer perception, natural language understanding, robotics, and healthcare.
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NYU Wireless
NYU WIRELESS provides next-generation research to help the development of 6G and beyond technology.
Our current research focus is centered on terahertz communications and sensing, mobile edge networking and computing, millimeter wave (mmWave), terahertz (THz), and quantum nano devices, 5G and 6G applications (such as robotics, UAVs, autonomous vehicles), machine learning, communication foundations, and 6G testbeds. NYU WIRELESS offers its Industrial Affiliate members, students, and faculty members a world-class research environment that is creating fundamental knowledge, theories and techniques for 6G and beyond.
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Visualization Imaging and Data Analysis Center (VIDA)
The Visualization and Data Analytics Research Center at NYU consists of computer scientists who work closely with domain experts to apply the latest advances in computing to problems of critical societal importance, and simultaneously generate hypotheses and methods that new data sources and data types demand. We work in the areas of Visualization, Imaging and Data Analysis.
