Title: Getting Results from Testing
Speaker: Dr. Laura K. Dillon
Testing is not capable of proving that a system behaves correctly under all circumstances. However, it remains the most cost-effective means of demonstrating system dependability, and as such it is a crucial software development activity. Yet the typical testing process is such a human intensive activity that it is by nature error-prone and unproductive. The automation and...
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Title: Automating the Processing of Clinical Trials with NLP and Machine Learning Techniques
Speaker: Dr. Lisa Gandy
Abstract: According to the American Cancer Society, currently 1 in 4 Americans dies of cancer. Because of the prevalence of cancer, and the insofar small gains that have been made in fighting cancer, over 5.2 billion dollars a year is spent on cancer research. As a result of large research funding, every year thousands of clinical trials for...