Pharma R&D Today

Ideas and Insight supporting all stages of Drug Discovery & Development

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Umesh Nandal: Chemist and data scientist in one

Posted on March 10th, 2022 by

Umesh Nandal is a Director of Data Science at Elsevier. As an AI expert with a Master’s in Chemistry, he embodies what Elsevier brings to the table – an actionable fusion of data and domain expertise. “Cross-functional teams combining data science, tech and domain knowledge is the only way we can achieve our collective goal: curing disease,” says Umesh.

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AI-driven innovation in life sciences: Unlocking the page – 20+ years of digital innovation at Elsevier

Posted on December 2nd, 2021 by

Mark Sheehan is VP Data Science on Elsevier’s Life Science team. His 22 years at the company maps closely with Elsevier’s digital journey over that time. And today, pharmaceutical companies can follow a similar journey – albeit highly accelerated – using Elsevier’s latest AI-driven R&D boosters. Mark has enjoyed many valuable experiences along the way, from the joys of cracking open a newly printed book, to enabling people to speedily crack new synthetic pathways at scale. “Yes, innovation always involves new technology. But it’s equally about human collaboration,” he says.

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AI-driven innovation in life sciences: Data as data should be

Posted on November 17th, 2021 by

Your AI applications are only as strong as your data. This is why Elsevier strives to make data not only align with FAIR usability principles but also be maximized for trustworthiness and relevance. In this way we can confidently offer the full potential of data science in an easy-to-use manner – from data acquisition and preparation, to AI application and interpretation.

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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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