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Predicting which diabetes treatments will reach clinical trials
Researchers at MIT have developed a mathematical model that can calculate whether diabetes treatments in pre-clinical trials will be successful in humans.
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Informatics
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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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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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Scientific data management: the core of quality
Gone are the days where mere data is considered king. We now understand the real value is in proper data management; but how best to harness its value? This article addresses current market options for companies wanting to extract every ounce of knowledge from raw data.
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COVID-19 viral envelope simulation under development
Researchers are working to build a complete, all-atom model of the exterior of the coronavirus to aid in drug design.
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Lab Automation In-Depth Focus 2020
In this in-depth focus are features on the best data management options currently available and how the future of drug discovery will be connected and fully automated.
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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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New cancer treatment regimens could be identified with novel technology
A new technology called mass cytometry, or CyTOF, is providing new insights into a range of key proteins in blood cancer cells.
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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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Virtual reality could be used to design new drugs, say researchers
Researchers have used virtual reality (VR) to control how drugs bind to their protein targets, which they say could be useful for designing new treatments.
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Muscle cell atlas developed to aid muscular disease and injury research
Researchers have created a new technical resource atlas which maps the 15 distinct cell types involved in muscle repair for disease and therapy research.
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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.
