How can technology ease pressure on pharma R&D? [Webinar]

The pharma value chain is under increasing strain, driven by increasing complexity of therapeutics, more targeted therapies reducing the addressable market, dwindling exclusivity on existing assets and resistance of payers to fund expensive treatment. As a result, the engine of innovation in the pharma company, R&D, is having to become more efficient and do more with less.

How can R&D professionals improve their efficiency, managing huge volumes of clinical trial data, journal articles and real-world evidence, and how can technological innovation help them in driving efficiency?

This webinar will discuss some of the challenges that pharma R&D professionals face, the latest developments in technology, such as LLMs and generative AI, and how these are helping to drive efficiencies in the drug discovery process.

Hear from Bryn Williams-Jones, an experienced and knowledgeable drug discovery expert with 30+ years in the industry, and Sam Shelton, Director of Alliances for SciBite, to learn more and gain useful insights in how the world of R&D is changing.

Presenters

Sam Shelton, Ph.D., Director of Alliances at SciBite
Bryn Williams-Jones, Drug Discovery Expert in Pharma R&D at CCC

Watch the full webinar

Enterprise search partners

We partner with leading enterprise search platforms to enhance real-time big data analytics for pharma and biotech companies. Semantic search capabilities improve the accuracy of search results allowing companies to make data-informed decisions. Find out more about how SciBite’s solutions can help unlock the potential of the R&D data in your business.

Enterprise search partners

Sam Shelton

Director of Alliances, SciBite

Sam leads partnerships and alliances at SciBite, working collaboratively with existing partners and developing new partnerships aligned to SciBite’s strategic goals. He has a strong technical background in the life sciences, with a PhD in Protein Biochemistry from the University of Nottingham and post-doctoral training in bioinformatics within the department of Neurosurgery at the University of California San Francisco.

Prior to Joining SciBite he held technical sales and commercial roles at Carl Zeiss and most recently led business development at Repositive, building relationships with contract research organisations, biotech’s and pharma companies, facilitating data exchange and search across multiomic datasets. He has a good grasp of the challenges of dealing with unstructured scientific data, and collaboratively developing practical solutions to overcome these.

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