Pharma R&D Today

Ideas and Insight supporting all stages of Drug Discovery & Development

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Ani Marrs

Senior Marketing Manager - Entellect

About the author: I’m currently responsible for Entellect – Elsevier’s data integration platform, designed to help pharma, chemicals and other Life Science organisations by enriching and harmonizing proprietary and external data so that their researchers can focus on answering the bigger questions that will improve patient outcomes. I’m particularly interested in the increase in predictive analytics within drug discovery, FAIR data and how new insights can be gleaned when information is connected across silos.

Posts by Ani Marrs

To Be a Digital Pharma Player, You Need Data – Reusable Data

Posted on July 21st, 2020 in Pharma R&D

A new paper published in Drug Discovery Today finds that the pharmaceutical industry is in an “early mature” phase of using artificial intelligence in R&D, which means that major industry players are interested in and pursuing AI, but not as actively as one might expect. For instance, they note that of the top 20 pharma companies that they looked at, only two (Novartis and Johnson & Johnson) have commercialized AI through products and services so far.

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Treating Pharma Data as an Asset: moving from an application centric to an information-centric organization – presented by Dr. Martin Romacker, Roche

Posted on July 14th, 2020 in Pharma R&D

Pharma knows there is a need for clean, reusable, FAIR data to fuel effective machine learning-driven R&D – but driving effective information and knowledge management is a long process, needing a step change where individuals learn their roles in data stewardship and reduce them to practice in a way that doesn’t constrain or impede their research activities.

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Partnering to identify repurposing candidates for chronic pancreatitis

Posted on May 12th, 2020 in Pharma R&D

Take a look at this infographic demonstrating how leveraging Entellect and collaborating with three partners led to a datathon that delivered four potential repurposing candidates in just 60 days.

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Bridging information silos the FAIR way

Posted on February 3rd, 2020 in Pharma R&D

We are living in a unique time, when the combination of computational power, expertise in knowledge engineering, and the data generation rate are all aligned to enable the aggregating and analyzing of data from different sources and types in order to better understand life science systems. The incredibly data-rich workflows that result from this alignment can be used to get improved insights into diseases, in turn helping researchers to develop more efficient and effective treatments for those diseases.

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