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Unlocking the power of machine learning for small molecule drug discovery
Rick Wagner of ZebiAI and Patrick Riley of Google Accelerated Science (GAS) discuss the development and benefits of a new machine learning drug discovery platform.
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Artificial Intelligence
webinar
Drug repurposing approaches to fast track development of new therapies for COVID-19
26 June 2020 | By Tecan
This webinar described the recent efforts to identify small molecule therapeutics for the treatment of SARS-CoV-2 infection and COVID-19 disease.
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Online tool allows researchers to track genetic structure of SARS-CoV-2
An artificial intelligence platform available online has been designed to help researchers track the genetics of SARS-CoV-2 as it moves from person to person.
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The Crick HTS facility – facilitating research through large-scale screening
The high-throughput screening (HTS) facility at the Francis Crick Institute in the UK provides a core service for Crick research groups. It enables scientists to use large-scale, unbiased screening technologies and approaches as part of their research. Nikki Withers spoke to the Science Technology Platform Head, Michael Howell, to hear…
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If Columbus had a map… guiding the discovery of new drugs
Exploring large databases and selecting compounds of interest can be extremely time-consuming for researchers. Here, Sacha Javor, Horst Flotow and Jingwen Shi discuss a novel chemoinformatics approach for drug discovery.
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Can a computer help us find a treatment for COVID-19?
Researchers are utilising computers to aid in their investigations into a COVID-19 treatment. Here, we highlight three studies using simulations, calculations and AI to identify a drug to combat the coronavirus.
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AI platform developed to rapidly identify treatment regimens for infections, including COVID-19
A new AI tool has been created by researchers to identify the best treatment courses and doses for bacterial or viral infections, such as COVID-19.
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AI and cloud computing used to develop COVID-19 vaccine
A potential COVID-19 vaccine has been developed by researchers using AI and cloud computing to prevent the Spike protein from binding to the ACE2 receptor on human cells.
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AI technology to screen existing drugs for use against COVID-19
A collaboration aims to utilise a compound library of 15,000 clinically-ready molecules and screen then against three COVID-19 targets.
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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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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.