Pharma R&D Today

Ideas and Insight supporting all stages of Drug Discovery & Development

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Readying Your Workforce for Digital Transformation

Posted on June 23rd, 2020 by in Pharma R&D

Seeing it as key to innovation and competitive advantage, many businesses in the life sciences are learning to embrace digital transformation these days—in fact, with good reason, most view it as necessary for survival. But whether or not the process of adopting rapidly-evolving digital-age technologies will actually result in business success can really depend on how you do it.

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The FAIR Toolkit Helps Researchers with Data Challenges

Posted on June 16th, 2020 by in Pharma R&D

Since the spread of COVID-19 was first reported, researchers of all types have mobilized to meet the challenges its causative agent, SARS-CoV-2, presents to the world. Data scientists in particular have been quick to apply their expertise to the problems of identifying, tracking and predicting outbreaks; diagnosing COVID-19; identifying infected individuals and detecting non-compliance with virus countermeasures; discovering new therapeutic interventions or repurposing existing ones; and searching for a safe, effective vaccine.

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Infographic: Elsevier’s Professional Services team provides COVID-19 insights

Posted on May 1st, 2020 by in COVID-19

Check out a special infographic we created to show how Elsevier’s Professional Services team can support your COVID-19 research.

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Webinar: Accelerating drug discovery by building and turning high-quality data into actionable insights

Posted on April 6th, 2020 by in Chemistry

Drug discovery is a time-consuming and costly process (and all the more costly because it’s time-consuming). One of the hopes of the era of Big Data has been that having access to a wealth of scientific information could help speed the discovery process. However, the data itself has proven to come with many challenges. Medicinal chemists like myself are often frustrated in our attempts to integrate and work with disparate and unstructured sets of data.

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