Pharma R&D Today

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Ann-Marie Roche

Director, Corporate Markets Marketing, Elsevier

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About the author: An experienced and passionate global marketing leader in creating useful, usable and enjoyable customer experiences. I started my career as a researcher and after joining Elsevier, I have had the opportunity to get closer to the fascinating world of Life Sciences, which I now use to identify and further explore key issues such as data as a service, AI, data extraction and personalized medicine. My goal is to engage with my audience and support knowledge sharing and discussion.

Posts by Ann-Marie Roche

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

Posted on December 2nd, 2021 in AI & Data

Mark Sheehan is VP Data Science on Elsevier’s Life Science team. His 20 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 in AI & Data

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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Big Data in Chemistry is featured in a new webinar series

Posted on November 11th, 2021 in Chemistry

We talk a lot about how innovation is driven by technological advances such as AI and machine learning – but equally important to innovation are partnerships and collaborations. The R&D Collaboration Network, founded in 2015, brings together top-class researchers in chemical informatics and computational chemistry who need access to comprehensive, accurate, diverse and deep sources of chemical data as input to their research programs, in order to drive innovation via the development of visual and/or predictive analytics approaches.

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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 in AI & Data

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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