What’s New in Ontosight® Terminal 1.1 A Complete Guide toRead More
What’s New in Ontosight® Terminal 1.1
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Machine learning as an indispensable tool for Biopharma
The cost of developing a new drug roughly doubles every nine years (inflation-adjusted) aka Eroom’s law. As the volume of data for drug discovery and development explodes, the ability of Pharma and medical practitioners to keep up and accelerate drug discovery becomes more challenging. In contrast, the software industry reaps the benefits of Moore’s law …
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Find biological associations between ‘never thought before to be linked’ entities
There was a time when science depended on manual efforts by scientists and researchers. Then, came an avalanche of data and with it the impossibility to read, annotate, and analyze hundreds of articles a day and find required connection between relevant entities. It is rather easy to say that a disease can be cured by …
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Find key opinion leaders and influencers to drive your therapy’s success
Collaboration with key opinion leaders and influencers becomes crucial at various stages of the drug development chain. When a pharmaceutical company begins its research process, it focuses on patient’s unmet needs. Gaining insights on existing standard of care and ongoing therapies, access to expert insights as well as market needs and leveraging knowledge of leaders …
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Impact of AI and Digitalization on R&D in Biopharmaceutical Industry
Data are not the new gold – but the ability to put them together in a relevant and analyzable way is Innoplexus has contributed to big data and Artificial Intelligence (AI) projects in pharma R&D. In this paper we share our point of view on the impact of AI enabled technologies on R&D that can …
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Why AI Is a Practical Solution for Pharma
Artificial intelligence, or AI, is gaining more attention in the pharma space these days. At one time evoking images from futuristic science fiction, it now plays a significant role in smartphones, cars, search engines, and financial transactions. But what, exactly, is artificial intelligence? It is a set of very specialized algorithms trained to solve very …
How can AI help in Transforming the Drug Development Cycle?
Artificial intelligence (AI) is transforming the pharmaceutical industry with extraordinary innovations that are automating processes at every stage of drug development. Pharma companies are investing in AI-driven applications for transforming healthcare, reducing R&D spends, and expanding the scope of drug discovery. By expediting research efforts, AI is turning hype into use cases and increasing ROI …
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How Will AI Disrupt the Pharma Industry?
There is a lot of buzz these days about how artificial intelligence (AI) is going to disrupt the pharmaceutical industry. At one time a mere idea that was the subject of discussions around its possible and practical uses, these technologies are now a reality that is turning pharma into a more productive industry with game-changing …
Revolutionizing Drug Discovery with AI-Powered Solutions
Drug discovery plays a key role in the pharma and biotech industries. Discovering unmet needs, pinpointing the target, identifying the lead, and optimizing the drug development process present significant challenges. Initially, the drug discovery process was more serendipitous rather than a planned process. Today, drug discovery involves a streamlined progression from identification to optimization. It …
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