Informatics
This section features DDW articles around informatics in drug discovery
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Beyond SEND: Leveraging non-clinical data to drive translational research forward By Katherine Briggs, et al., Winter 2018/19
This article will discuss some of the potential use cases that Standard for Exchange of Nonclinical Data (SEND), datasets can support. Both to advance translational research across multiple research sites and also to drive efficiencies with research partners including contract research organisations (CROs).

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The Data Driven Transformation In Drug Discovery Dr Satnam Surae Summer 2018
This article, presents a review of the current approaches to data management and application within the drug development and research setting, highlighting major critical challenges and emerging solutions for organisations that are determined to harness big data and machine learning.

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Artificial Intelligence & Biopharma R&D IT By The PRISME Forum Spring 2018
This article discusses issues around artificial intelligence & Biopharma R&D IT, and outlines how AI can be a potentially transformative technology for the biopharmaceutical and healthcare industries.

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Biologics Drug Discovery - Driving Strategic Improvements With Scientific Informatics By Dr Andrew LeBeau Spring 2018
Adoption of a scientific informatics system is essential to the success of every drug discovery organisation. This article discusses how we can drive strategic improvements in biologics drug discovery using scientific informatics.

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Blockchain Technology in Drug Discovery: Use-Cases in R&D By Dr Richard Shute Fall 2017
There is no doubt that the interest and hype around blockchain or distributed ledger technology (DLT) builds daily. The explosion of articles and books recently is testament to this. But what is a blockchain and how might DLT impact healthcare, Pharma and R&D?

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UX Design - Maximising the Value of Scientific Software in Life Science R&D By Dr Jennifer A. Cham & Katrina Costa Summer 2017
Using scientific software can be frustrating and time-consuming, resulting in less productive research. This article aims to demonstrate that User Experience (UX) Design – an evidence-based design process that centres on the behaviours and needs of users – offers specific efficiency benefits for life science R&D.

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Is The Cloud Enabling Bioinformatics to Become the Biology Solutions Domain? By Dr Paul Denny-Gouldson Winter 16/17
For many years we have used the term bioinformatics to describe, well, anything outside cheminformatics in the R&D informatics domain. It has been a ‘catch-all’ term to label informatics tools that handle biologically relevant information. But the tools and software that have been labelled as such have not been expansive – albeit they are biology centric.

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Why Adopting AI is Essential for a Sustainable Pharma Industry By Professor Jackie Hunter Winter 16/17
Advancements in technology, and in particular, developments in artificial intelligence (AI) are revolutionising the way that we live our lives. Up to now, we have used it to help us find the quickest route home or to search the Internet, but we now need to look much further.

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Managing Data Challenges In The New R&D Environment By Dr Paul Denny-Gouldson Summer 15
The discovery and development of drugs is changing. The realm once dominated by ‘big pharma’ is becoming increasingly fragmented into more agile and flexible consortia.

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TMFs become key differentiator for CROs as stakeholders demand better collaboration and access By Rik Van Mol Winter 14
R&D outsourcing continues to rise sharply to meet the demands of life sciences organisations’ growing pipelines, but CROs have to keep evolving or more nimble competitors will take their place.

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Informatics & Data: Revolutionising the R&D Arena By Glyn Williams and Dr Paul Denny-Gouldson Winter 2013
Today’s information technologies profoundly affect the way we conduct research and development (R&D), and the last 20 years have seen great advances in information technology across both our work and home lives.

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Seeing is Believing: The Benefits of Visual Analysis in Research By Dr Christopher Ahlberg Summer 2006
There is a growing pressure in todays climate for pharmaceutical companies to find tomorrows wonder drugs and dominate the major market segments. Recently, they have also been under attack for poor research productivity, for failures in drug safety and for off-label marketing. The use of visual analysis could do much to improve their performance in research and across all areas of activity.

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Applying the semantic web to drug discovery and development By Dr Eric Neumann Fall 2005
There is much happening in drug development these days: new target classes, increasing costs, new forms of high throughput screening, and the promise of personalised medicine. But of all the issues, the one that now takes centre stage (and directly impacts the aforementioned ones) is drug safety.

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Computer-aided design: progress towards more rational drug discovery By Dr Wolfgang H.B. Sauer Summer 2005
Drug discovery is a science, a craft and an art, and often it requires a fair amount of serendipity or plain luck to succeed. Success is rare and costly, as evidenced by numerous reports and reviews (1,2). In its quest for success, industry nowadays relies more than ever on modern computational tools in all stages of the process.

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Informatics
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