Dr. Larson is an expert on the intersection between computer technology and biological systems. In this webinar, he will address the idea that, to gain insight about the deluge of data being amassed about disease in the biomedical sciences, it is critical to build rigorous hypotheses about biological mechanisms that can be falsified.
Webinar originally hosted July 23, 2014. Click here to view the webinar.
Stephen Larson, PhD
In order to gain insight about the increasing deluge of data that is being amassed in the biomedical sciences about diseases, we must be able to build rigorous hypotheses about biological mechanisms that can be falsified. Increasingly in the literature of computational biomedicine, these hypotheses are being represented as complex computer models. While modern tools are sufficient for building such models at a level of proof of principle, the number of models that represent deep understandings of biomedical phenomena are still few and far between. In this talk, we discussed our approach to increasing the usability and rigor of models of biological phenomena through the use of more collaborative and professionally engineered model building software tools.