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Exploring Breast Cancer Biomarkers with a Literature Biomarker Database
In this piece we'll show how natural language processing can be applied to build a searchable database of disease biomarkers, presented in the context of their corresponding scientific publications. To illustrate the power of this approach we'll focus on examples of protein biomarkers relating to Breast Cancer.
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Using scientific data technology to access the emerging trends in immuno-oncology research
In this blog, we explain more about our Immunonc vocabulary, comprising the concepts relating to this field, which enables our customers to be better informed about the current advances and emerging trends in cancer immunotherapy research, keeping them at the forefront of cancer treatment.
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The pivotal role of Semantic Enrichment in the evolution of Data Commons
In this blog post, discover how Pfizer have integrated SciBite’s semantically enriched vocabularies into their Data Commons project, which has the goal of enabling scientists to develop and refine hypotheses by investigating correlations between genetic and phenotypic data.
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Enhanced Clinical Vocabularies – Inclusion of CDISC in latest TERMite 6.3 release
SciBite's latest TERMite 6.3 release includes a new set of clinical ontologies as it introduces a set of CDISC vocabularies.
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Power to the patients: An AI-based microbiome analyser to support IBD patients from the comfort of their own homes
The work presented here describes the winning entry to a challenge set by ARM, Atos and Cavium at the Wellcome Genome Campus Hackathon 2018.
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Text-mining drug labels for genetic factors influencing efficacy and safety to support clinicians at the point of prescription
Only 50-75% patients respond beneficially to first-line drug therapy, causing unnecessary costs to healthcare providers and, more importantly, adversely impacting a patient’s quality of life.
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