Automating Digital Health

While artificial intelligence (AI) has become widespread, many commercial AI systems are not yet accessible to individual researchers nor the general public due to the deep knowledge of the systems required to use them. We believe that AI has matured to the point where it should be an accessible technology for everyone12. The ultimate goal of this research area is to develop AI systems that automate the entire computational workflows of today’s data scientists. Doing will accelerate the analysis of complex data in the biomedical and health care domains.

Overview of the PennAI GUI
Accessible, Automatic Data Science: github.com/EpistasisLab/pennai

See my post talking about our Bioinformatics paper3.

  1. Olson, R. S., Sipper, M., La Cava, W., Tartarone, S., Vitale, S., Fu, W., … & Moore, J. H. (2017). A System for Accessible Artificial Intelligence. Genetic Programming Theory and Practice. arXiv ↩

  2. Pearson, J. (2017). These Researchers Want the People to Seize the Means of AI Production. Motherboard. link ↩

  3. La Cava, W., Williams, H., Fu, W., & Moore, J. H. (2020). Evaluating recommender systems for AI-driven biomedical informatics. Bioinformatics. open access, arXiv ↩

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