Researchers at the Luddy School of Informatics, Computing, and Engineering advance research in health and biology by tackling grand challenges through intra- and interdisciplinary collaborations. A key advantage of Health at Luddy is the broad expertise in one school: collaborators can find synergistic opportunities that explore sociotechnical systems from micro- to macroscales at biological, environmental, physiological, individual, community, and global levels of interactions.See faculty in health at SICE
A gateway for all of our health-related research
Prevention, detection, and management
Investigate the spectrum of wellness and disease from DNA to individual behaviors to community interactions. Understand and act on the best environmental, social, biological, and technical signals that influence human health. Provide mechanisms for clinical and lay populations to oversee personalized care.
Study how an individual’s genes, lifestyle, and environment affect their health, from susceptibility to diseases to response to specific treatments. Develop methods, models, and tools to understand the impact of biological data (e.g., genomic sequences), as well as to collect and analyze lifestyle (e.g., physical activity levels) and environmental data (e.g., air quality).
Monitoring and sensing
Collect and process information from signals at all scales: subcellular to physiological to population level. Increase the accuracy and reliability of decisions that affect quality of life through advanced sensor fabrication, real-time processing, and interactive measurements of the body, home, and environment.
Making sense of big data
Develop infrastructure to process massive amounts of health, lifestyle, community, and environmental data. Adapt and create new analytic techniques specifically for the health domain in the areas of machine learning, artificial intelligence, vision and audio processing, and network analysis.
Address the most pressing challenges in biology and medicine from an engineering perspective. Design and fabricate new technologies and materials for the next generation of personalized health devices. Utilize experimental and computational bioengineering approaches to better understand disease, health, and treatments.Learn more about engineering health
Associated centers, groups, and labs
- Adaptive Behavior and Cognition—West
- Biocomplexity Institute
- Center for Algorithms and Machine Learning
- Center for Bioinformatics Research
- Center for Genomics and Bioinformatics
- Complex Adaptive Systems and Computational Intelligence
- Cyberinfrastructure for Network Science Center
- Digital Science Center
- Fibers and Additive Manufacturing Enabled Systems (FAMES) Lab
- Human-Computer Interaction/Design
- Kinsey Institute
- MathCancer Lab
- Precision Health Initiative
- Proactive Health
- Societal Computing Lab
- Socioneural Physiology Lab