Pharma R&D Today
Ideas and Insight supporting all stages of Drug Discovery & Development
Personal Health Train initiative gives researchers data access FAIRly
Posted on March 19th, 2020 by Mark Siebert in Pharma R&D
Health data is everywhere. It is managed by universities, research centers, medical institutions and by individuals themselves. With this valuable data located in so many disparate places, and organized differently in each place, it can be difficult for researchers to access and make use of it.
(more…)Unlocking the potential of the Reaxys PhD prize – insights from 4 winners and finalists
Posted on March 2nd, 2020 by Alica May in Chemistry
The Reaxys PhD Prize, which honors young chemists for their innovative research, is now in its 10th year. It is a worldwide competition, open to those who are doing (or have recently completed) their PhD in any area of chemistry. Finalists each year automatically become a part of the Reaxys Prize Club, an exclusive international network of chemists from all research areas and career paths. Members of the club are also awarded with a broad range of benefits including free access to Reaxys, travel grants to network and explore research collaborations, and much more.
(more…)3 issues global pharmas should consider as the coronavirus outbreak continues
Posted on February 26th, 2020 by Xuanyan Xu in COVID-19
It has been more than four weeks since the Wuhan lockdown on January 23. As the crisis unfolded, spring festival national holidays were extended (and extended again), and finally people are now gradually going back to work—though some cities, towns and villages are still taking strict measures to prevent the virus spreading further.
(more…)What’s ahead for the Life Sciences industry?
Posted on December 30th, 2019 by Neal Katz in Pharma R&D
As the year comes to a close, we’re thinking about trends in the landscape and where the industry is headed. What do some of the members of Elsevier’s Life Sciences team think?
Tom Pianko VP of Global Key Accounts, counts machine learning, artificial intelligence, data normalization and advance analytics tools among the trends that point to where the Life Sciences industry is going—and many of his colleagues agree.
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