Matchmaking for Clinical Trials: The Achilles’ Heel of Cancer Research
While cancer research is crucial to help the growing number of patients suffering from the disease, it is difficult to find enough patients that meet the criteria of clinical trials. Using spreadsheets to determine who would benefit from a new treatment can be slow and error prone.
Read this paper to find out how IBM Watson for Clinical Trials Matching is making a major difference:
- Using natural language processing (NLP) to identify potential candidates for trials
- Searching tens of thousands of ongoing U.S. cancer trials to find possible matches
- Transforming a job that consumes hours or even days into a routine and painless task