| 2020 | AMIA | Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting. | David J. Albers, Melike Sirlanci Tuysuzoglu, Matthew E. Levine, Caroline Der Nigoghossian, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak |
| 2018 | AMIA | Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges. | David J. Albers, Matthew E. Levine, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak |
| 2017 | AMIA | Why predicting postprandial glucose using self-monitoring data is difficult. | David J. Albers, Matthew E. Levine, Andrew M. Stuart, Bruce J. Gluckman, George Hripcsak |
| 2016 | ACSSC | The neural basis for sleep regulation - Data assimilation from animal to model. | Fatemeh Bahari, Camila Tulyaganova, Myles Billard, Kevin Alloway, Bruce J. Gluckman |
| 2015 | AMIA | Personalized medicine beyond genetics: using personalized model-based forecasting to help type 2 diabetics understand and predict their post-meal glucose. | David J. Albers, Matthew E. Levine, Bruce J. Gluckman, George Hripcsak, Lena Mamykina |