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Free access to AI Clinical Research Navigator tool for COVID-19 researchers
In light of the COVID-19 pandemic, the creators of the Clinical Research Navigator (CRN) tool have offered free access to their system for biomedical researchers.
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Artificial Intelligence
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How labs become AI ready with advanced informatics infrastructures
To reach the full potential of artificial intelligence (AI) in the pharma industry, it is essential that companies harmonise their data to remove the need for unnecessary human intervention. This article outlines how companies are working towards digital maturation and the obstacles they need to overcome to ensure the value…
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Petabytes of data – how informatics is transforming precision medicine
Advances in informatics have afforded researchers the ability to extrapolate petabytes of human genomics data and translate it into biologically relevant information. However, further translating this information into knowledge can prove challenging. Slavé Petrovski, Vice President and Head of Genome Analytics and Bioinformatics for AstraZeneca’s Centre for Genomics Research, spoke…
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Informatics In-Depth Focus 2020
The articles in this in-depth focus explain how informatics aids in the development of genomic research and outline the next steps for AI to progress in pharma.
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Drug Target Review – Issue 1 2020
This issue includes a spotlight on how genomic assays could revolutionise healthcare, a discussion on how lab automation can improve drug discovery and an analysis of whether antibodies can provide an effective coronavirus treatment. Other article topics in this issue include immuno-oncology and artificial intelligence.
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Autonomous Scanning Probe Microscopy technique developed using AI
Using AI and deep learning, researchers have enhanced Scanning Probe Microscopy (SPM) and made their automated resource available for scientists.
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Inactivated human muscarinic receptors used in new screening method
Researchers have developed a new screening technique by inactivating the molecular structure of the human muscarinic receptor, allowing them to test potential drugs.
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Using virtual screening to identify coronavirus treatments
Drug Target Review rounds up the latest updates on research into coronavirus treatments, focusing on virtual screening to find therapies for COVID-19.
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Discovering and designing drugs with artificial intelligence
The first drug designed using artificial intelligence (AI) has moved into its Phase I trial. Professor Andrew Hopkins of Exscientia explains how an algorithm was used to achieve this milestone.
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Chemical reactions database updates to improve R&D information exchange
The newest version of the Unified Data Model (UDM) project has been released, allowing R&D scientists to access information on compound synthesis and testing.
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Novel antibiotic compound revealed through artificial intelligence screening
A new antibiotic compound has been identified by researchers who designed a machine-learning algorithm to screen millions of molecules.
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Artificial intelligence trained to find disease-related genes
Researchers have developed an artificial neural network using deep learning to identify genes that are related to disease.
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Study identifies drug design applications as main recipient of AI investment
Research suggests that over half of the total $5.2bn investment for artificial intelligence in pharma went to drug design applications in 2019, but overall investment is slowing.
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Exploring chemical space for epigenetic drug discovery using AI
It is said that, on average, it takes a new drug 12 years to go from research lab to patient, with many thousands of candidates discarded along the way. Can artificial intelligence (AI) help to speed things up? Sheraz Gul and Alp Sahin provide an overview of an AI approach…
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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.
