Aaron M. Smith

According to our database, Aaron M. Smith authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Digital Twin Generators for Disease Modeling.

Nameyeh Alam, Jake Basilico, Daniele Bertolini, Satish Casie Chetty, Heather D'Angelo, Ryan Douglas, Charles K. Fisher, Franklin Fuller, Melissa Gomes, Rishabh Gupta, Alex H. Lang, Anton Loukianov, Rachel Mak-McCully, Cary Murray, Hanalei Pham, Susanna Qiao, Elena Ryapolova-Webb, Aaron M. Smith, Dimitri Theoharatos, Anil Tolwani, Eric W. Tramel, Anna Vidovszky, Judy Viduya, Jonathan R. Walsh

CoRR, 2024

2020

Modeling Disease Progression in Mild Cognitive Impairment and Alzheimer's Disease with Digital Twins.

Daniele Bertolini, Anton D. Loukianov, Aaron M. Smith, David Li-Bland, Yannick Pouliot, Jonathan R. Walsh, Charles K. Fisher

CoRR, 2020

Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks.

Jonathan R. Walsh, Aaron M. Smith, Yannick Pouliot, David Li-Bland, Anton Loukianov, Charles K. Fisher

CoRR, 2020

Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data.

Aaron M. Smith, Jonathan R. Walsh, John Long, Craig B. Davis, Peter Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine Mu, Stephen Ra, Shanrong Zhao, Daniel Ziemek, Charles K. Fisher

BMC Bioinform., 2020

2019

Generating Synthetic Control Patients Using Machine Learning for Alzheimer's Disease Clinical Trials.

Charles K. Fisher, Yannick Pouliot, Aaron M. Smith, Jonathan R. Walsh

Proceedings of the AMIA 2019, 2019

2018

Using deep learning for comprehensive, personalized forecasting of Alzheimer's Disease progression.

Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh

CoRR, 2018

Boltzmann Encoded Adversarial Machines.

Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh

CoRR, 2018