Pharma R&D Today

Ideas and Insight supporting all stages of Drug Discovery & Development

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AI-driven innovation in Life Sciences: Data Science & AI amplifies your innovative drug R&D capabilities

Posted on November 4th, 2021 by

If you work in Life Sciences & Health, you’re likely aware of what Data Science and AI can bring to the table when it comes to sparking innovation. However, if you are not Big Pharma, it’s the how that slows down most LSH companies and organizations. We believe that Elsevier’s road-tested data and semantic technologies can address the challenges of Life Science data.

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Emerging trends for pancreatitis in the scientific literature: a new report

Posted on October 19th, 2021 by

Elsevier has just released the Emerging trends for pancreatitis in the scientific literature report, which identifies proteins and genes linked to pancreatitis. Elsevier’s Professional Services team prepared it pro bono for Mission: Cure, a foundation that is focused on finding a disease-modifying treatment for pancreatitis. The team hopes that all researchers working on pancreatitis, which affects millions of people worldwide in both acute and chronic forms, will find it useful.

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Accelerating synthetic chemistry with a predictive retrosynthesis solution

Posted on August 12th, 2021 by

In most aspects of life, we think of “endless possibilities” as a good thing. But in science, the wealth of possibilities can be daunting. Pharmaceutical researchers typically start with a disease that they want to tackle, find a target, and then try to identify compounds which interact with that target. There may be around 200-300 drug candidates per project, and synthesis planning and execution usually takes four to eight weeks per drug candidate. This process requires many chemists and a huge, costly effort to proceed.

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Representation matters: Diversity in leadership

Posted on August 9th, 2021 by

Kumsal Bayazit, Elsevier CEO (Photo by Alison Bert)

We have known for some time now that having more women in leadership positions benefits companies, including their bottom line. This 2015 McKinsey report found that “Companies in the top quartile for gender diversity are 15 percent more likely to have financial returns above their respective national industry medians.” The same report also found that companies in the top quartile for racial and ethnic diversity are 35 percent more likely to see those higher financial returns.

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