Ontosight® – Biweekly NewsletterJune 17th – June 30th, 2024 –Read More
Ontosight® Newsletter Issue 3
Ontology
How a self-learning Ontology benefits Pharma and Life Sciences
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 …
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Five Reasons to Embrace Data-Driven Drug Development
The growth of the pharmaceutical and biotechnology industry depends on successful clinical trials. The cost of developing a new drug that gets approval is estimated at around $2-3 billion. The longer the trial lasts and the more patients it has involved, the larger the loss. The researchers at Johns Hopkins Bloomberg School of Public Health …
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Understanding ontology for better insight into the Life Sciences data ocean
The rapid advancement in the field of AI, and the necessity of extracting knowledge and generating insights from data to find sustainable solutions, demanded computers distinctly understand the language of the particular industries. Industry-specific terms used for research enables data analysis such that relevant insights are generated. With an ontology that consists of the relevant …
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Understanding the Language of Life Sciences
Training algorithms to identify and extract Life Sciences-specific data The English dictionary is full of words and definitions that can be applied to various contexts. The second edition of Oxford dictionary in 1989 recorded 228,132 words, including popularly used words, obsolete words, as well as derivatives. Words are used all over the world to discuss, …
