Real-world evidence reported by patients themselves is an under-utilised resource for pharmaceutical companies striving to remain competitive and maintain awareness of the effects of their drugs.
Health forums, such as PatientsLikeMe, provide a wealth of valuable information, but many current computational approaches struggle to deal with the inherent ambiguity and informal language used within them.
SciBite uses semantic analytics to transform the free text within patient forums into unambiguous, machine-readable data. This enables pharmaceutical companies to unlock the value of patient-reported data and make faster, more informed decisions.
To learn more, download the full use case.
SciBite CSO and Founder Lee Harland shares his views on why ontologies are relevant in a machine learning-centric world and are essential to help "clean up" scientific data in the Life Sciences industry.Read
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