Tag: Machine Learning
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U-M BME to Expand AI Engineering Education with New Master’s Pathway
A new Master’s of Engineering degree in Artificial Intelligence Engineering will prepare biomedical engineers to apply AI and machine learning to real-world challenges in health, medicine, and biotechnology.
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U-M BME Researchers Create an 8D-Model of Cancer Metabolism
In a new study, researchers at the University of Michigan Department of Biomedical Engineering (U-M BME) have harnessed machine learning to successfully predict the metabolic inner workings of nearly 1,000 different cancer cell lines, creating a roadmap that could lead to highly tailored, synergistic combination therapies.
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U-M BME Faculty Pioneer Online Educational Modules on AI Foundations
The development of these online learning modules marks the first step in a broader vision to create a comprehensive educational program focused on AI in BME.
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Michigan Medicine Podcast Features BME’s Anne Draelos
Dr. Anne Draelos highlights how A.I. and Bioinformatics can reveal hidden networks of the brain
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2025 BME Symposium with Glenn V. Edmonson Lecture Is May 13, Featuring George Em Karniadakis as Glenn V. Edmonson Lecturer
The Glenn V. Edmonson Lecturer will be George Em Karniadakis, Ph.D., the Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics, Brown University.
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SCOOTI: Unlocking Cellular Objectives Through Machine Learning
The new tool, developed by Sriram Chandrasekaran, Associate Professor, Biomedical Engineering, and his PhD student Da-Wei Lin, is called SCOOTI (Single-cell Optimization Objective and Trade-off Inference).
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U-M BME’s Anne Draelos Named a 2024 Sloan Research Fellow in Neuroscience
The grant funding will support Dr. Draelos’ research, which focuses on using real-time adaptive machine learning.
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Individual finger control for advanced prostheses demonstrated in primates
University of Michigan researchers used a computer-generated hand to mirror the motions of the monkeys as they reached for the animated dots—providing data that the team used to train their algorithm for interpreting brain signals.