Life Sciences and eHealth
Data quality in a distributed learning environment
Vast amounts of data to improve cancer treatment decisions
Unlocking large volumes of knowledge locked in natural text
We are looking at large amounts (tens of thousands) of clinical case transcriptions. A few hundred of these cases have been classified with observations from the radiologists, for example: unusual mass of tissue on the upper lobe of the left lung. However, annotating all of these cases by hand is extremely time consuming and error prone.
We will use NLP & ML tools to learn from the text and automatically annotate the bulk of the clinical cases. Similar projects have been run in the past, but the annotations produced were not of sufficient quality.
The resulting NLP tool could give a tremendous boost to clinical radiology, unlocking large volumes of knowledge currently locked in natural text.
Vast amounts of data to improve cancer treatment decisions
Advanced neuropsychological diagnostics infrastructure
Efficient exploitation of the massive amount of modern-day life science data
Open discovery and exchange for all
Are you a researcher who could benefit from our eScience skills and experience? Reach out to us today and let’s explore how we can work together.
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