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The future of label management is with intelligent automation
Kiran Chinnalla and Julian Backhouse explain why automation for labelling in pharma can help the industry to remain compliant in the face of regulatory changes.
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Artificial Intelligence
whitepaper
Whitepaper: Characterising insulin as a biopharmaceutical using Analytical Ultracentrifugation
AUC was used to probe the effect of insulin concentration and the zinc chelating agent EDTA on monomer, dimer, and hexamer formation of USP Human Insulin Standard.
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A glimpse at how Novartis’ manufacturing and supply organisation responded to COVID-19
The rapid evolution of the COVID-19 situation has created significant barriers to normal operations, from locking down borders to the imposition of restrictions on trade and export – not to mention a surge in demand for many common medicines. Each of these events in isolation can affect production and supply,…
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How digitalisation can help pharma weather the COVID-19 storm
Andrew Dunbar outlines five digital technologies that can help pharma function to the best of its abilities over the course of the COVID-19 pandemic.
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Artificial intelligence in pharma: utilising a valuable resource
The pharmaceutical industry is set to greatly benefit from the use of artificial intelligence (AI), due to its wide range of applications. Sydney Tierney discusses how machine learning can enhance marketing, manufacturing and drug trials.
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DSP-1181: drug created using AI enters clinical trials
The developers of DSP-1181, a drug created using AI, announced that it has entered a Phase I clinical trial for the treatment of obsessive-compulsive disorder (OCD).
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Funding for AI in drug development, clinical trials and information synthesis hits $5.2bn
A study has suggested that while funding for artificial intelligence in pharma was $5.2bn in 2019, overall investment is slowing.
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Key trends studied for diabetes drug development in 2020
Functional links between metabolic, cardiovascular and renal diseases, as well as a focus on digital and a personalised approach will shape diabetes drug development in 2020, says new analysis.
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Optimising artificial intelligence in the pharmaceutical industry
Artificial intelligence can be applied to almost every part of the pharma industry. Christopher Rafter discusses its many uses and how the adoption of machine learning will increase in the future.
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Research shows the pharma industry believes AI will likely optimise R&D
A survey has shown that the pharmaceutical industry believes R&D will see a lot of benefit from digital transformation and that AI will be at the forefront of this.
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IoT could transform the pharma industry through these steps
Adopting IoT systems as a pharmaceutical company can provide many opportunities but achieving success can be difficult. James Steiner explains how to effectively integrate IoT solutions into pharma.
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AI can predict which research will translate to clinical trials
Researchers have created an AI model that analyses the citations of studies, predicting their potential for eventual clinical application.
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UK to launch seven data hubs to garner insights for improved healthcare
The seven centres will aid disease research and clinical development, improving access to patient data for studies.
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US and China should collaborate more to bring AI to healthcare
New article says that to take full advantage of deep-learning solutions in healthcare, the US and China should collaborate, not compete.
