What’s New in Ontosight® Terminal 1.1 A Complete Guide toRead More
What’s New in Ontosight® Terminal 1.1
Life Science
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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Why is Network Analysis important for Life Sciences?
Everything is connected! Genes to proteins, proteins to diseases, diseases to drugs, and drugs to proteins. All these connections are both simple and complex at the same time. Sometimes, not only understanding the complexity of the links is difficult, but even finding them is. How do we discover associations between two or three, or three …
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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, …
Why is Blockchain important to access unpublished data?
Today, blockchain technology applies to a variety of industries. The revolutionary technology that made virtual currency a possibility also enabled hyperledger and smart contracts. This offers an unprecedented opportunity to break down data silos in pharma and access unpublished data. Unpublished pharma data poses a limitation to successful drug development and increases the chance of …
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Why data monopoly in life sciences is not beneficial?
The pharma industry is one which is responsible for millions of lives. In 2018, the United States spent nearly 18% of GDP on healthcare. Moreover, the country spends more than U.S. $71 billion on Research & Development in pharma annually. According to statista, this figure is expected to increase to over 200 billion U.S. dollars …
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What is Named Entity Recognition?
Named Entity Recognition (NER) is an information extraction method of a technology called Natural Language Processing (NLP). It locates entities in an unstructured or semi-structured text. These entities can be various things from a person to something very specific like a biomedical term. For example NER can recognize that “pancreatic cancer” is a disease and …
What is Data Analysis?
We live in a data-driven world. The volume of data is exploding – created by private consumers, businesses and machines across the globe. 2025 the volume of global data is forecast to reach up to 180 zettabytes – that’s a figure with 21 zeros before the decimal. This includes information from business transactions, scientific research …
Breaking down data silos to revolutionize Pharmaceutical Industry
Science is, by its nature, a collaborative discipline. Connecting the dots through data exchange and the analysis of large amounts of data, especially in the life science industry, can make a revolutionary difference in drug research and innovation. It can benefit the pharmaceuticals industry with better research, faster drug development, and lower costs. However, data …
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How AI and Big Data is transforming the future of healthcare
Dr. Gunjan Bhardwaj with Shanna Landolt for an exclusive podcast on how AI and Big Data is transforming the future of healthcare. http://traffic.libsyn.com/force-cdn/highwinds/shannalandolt/Dr._Gunjan_Bhardwaj.mp4 Gunjan Bhardwaj is the Founder and CEO of the Innoplexus group. He was earlier with the Boston Consulting Group and before that the leader of the global business performance think-tank of Ernst …
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