How a self-learning Ontology benefits Pharma and Life Sciences?

SILKE OTTE | April 3, 2019

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Every domain has its own language. The same word used in different domains can have totally different meanings. In fact, the same word can mean two separate things for different subdomains, eg. in science, hedgehog is both animal and protein. Moreover, domain language is dominated by abbreviations and terminology used by researchers and experts. A medical scientist understands when Ca is being used for Cancer and when for Calcium. Our brain is trained in a way to recognize these differences and understand the context of the word. But how will a computer understand them? As the human brain automatically connects meanings and relationships, ontology does the same for computers! Big data has become a growing challenge for data scientists as it is increasing dramatically. In a study by Densen, it was estimated that the Life Sciences data will double approximately in just 73 days by 2020. Moreover, the data is featured by heterogeneity.

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Our mission is to help people live healthier lives and to help make the health system work better for everyone. A Fortune 5 company, we're focused on helping people live healthier lives while making the health system work better for everyone. Here, we seek to empower people with the information, guidance and tools to make personal health choices. We work harder and we aim higher. We expect more from ourselves and each other. And, at the end of the day, we’re doing a lot of good for more than 85 million people worldwide.

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