Informatics
This section features DDW articles around informatics in drug discovery.
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Unlocking Clinical Trial Data to Uncover New Therapeutic Opportunities By David Wang, Masha Hoffey and Dr Simone Sharma
This article discusses opportunities, challenges and best practices in leveraging infrastructure excellence and AI to unlock the value of early or inconclusive clinical trial data. The goal... driving stronger biomarker-based insights and decisions and helping to advance new cures and treatment approaches.

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How Artificial Intelligence is Transforming Drug Design By Dr Mark Roberts and Dr Sam Genway
AI could create a streamlined, automated approach to drug discovery, trawling vast datasets to identify targets, find candidate molecules and predict synthesis routes. Getting there will require significant vision, but we are already seeing exciting examples of AI helping direct research and reduce discovery times. We discuss the short and long term potential of AI in drug discovery.

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Application of bioinformatics in support of precision medicine By Mike Furness and John Wise
Bioinformatics has played a major role in gene sequencing diagnostics and has been an essential tool to investigate the genetic causes of disease. With the support of new technologies and tools, bioinformatics can play an important part in the support and continued development of precision medicine.

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Beyond SEND: Leveraging non-clinical data to drive translational research forward By Katherine Briggs, et al.,
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
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
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
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
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
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
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
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
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
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
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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Informatics
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