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Using machine learning to guide and enhance bioengineering
The Automated Recommendation Tool (ART) uses machine learning to accelerate the development of cells for specified goals, eg, bioprocessing and bioproduction.
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Artificial Intelligence
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Under the microscope: Searching for optimised drugs: combining AI with human expertise
Applying artificial intelligence (AI) to small molecule drug discovery can provide a more rapid and cost‑effective route to discovering drug candidates. Here, Martin Redhead, Head of Quantitative Pharmacology at Exscientia, discusses the role of AI in drug discovery, the processes involved and how it can be used to address the…
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AI holds promise to accelerate drug repurposing for COVID-19
According to a new report, artificial intelligence (AI) is vital for the rapid identification of drugs that can be repurposed to combat COVID-19.
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Drug side effects: an open source tool to predict adverse reactions
Researchers who developed a machine learning algorithm to predict the adverse effects of new drug compounds have released it as an open source tool.
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From inception to conclusion: how digitalisation is impacting drug development
Phoebe Chubb explores how digitalisation is shaking up the world of drug discovery and development by increasing productivity and reducing human error.
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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.
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.
news
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.
news
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.
