Chard, Kyle

Predictive Big Data Analytics: A Study of Parkinson’s Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations

Dinov, I. D., Heavner, B., Tang, M., Glusman, G., Chard, K., Darcy, M., Madduri, R., Pa, J., Spino, C., Kesselman, C., et al. (2016) · PLOS ONE

Artificial Intelligence in HealthcareParkinson's Disease Mechanisms and Treatments

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Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses

Liu, B., Madduri, R. K., Sotomayor, B., Chard, K., Lacinski, L., Dave, U. J., Li, J., Liu, C., & Foster, I. T. (2014) · Journal of Biomedical Informatics

Scientific Computing and Data ManagementCloud Computing and Resource Management

Cited by 81

Experiences building Globus Genomics: a next‐generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services

Madduri, R. K., Sulakhe, D., Lacinski, L., Liu, B., Rodriguez, A., Chard, K., Dave, U. J., & Foster, I. T. (2014) · Concurrency and Computation: Practice and Experience

Scientific Computing and Data ManagementCloud Computing and Resource Management

Cited by 73

FAIR Principles for AI Models with a Practical Application for Accelerated High Energy Diffraction Microscopy

Ravi, N., Chaturvedi, P., Huerta, E. A., Liu, Z., Chard, R., Scourtas, A., Schmidt, K. J., Chard, K., Blaiszik, B., & Foster, I. (2022) · Scientific Data

Research Data Management PracticesScientific Computing and Data Management

Cited by 51

Adaptive Edge-Cloud Environments for Rural AI

Almurshed, O., Patros, P., Huang, V., Mayo, M., Ooi, M., Chard, R., Chard, K., Rana, O., Nagra, H., Baughman, M., et al. (2022) · 2022 IEEE International Conference on Services Computing (SCC)

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 12