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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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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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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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High-speed microscope can capture brain signals and calcium concentrations
The novel technology allows researchers to create three-dimensional images of signal propagation and calcium concentration changes in the neocortex of live mice.
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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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Where could bioengineering and technological advances take drug discovery?
Drug Target Review explores the findings of a recent review of molecular, cellular, multi-cellular and tissue engineering and modelling technologies for drug design.
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Software able to screen up to 1.4 billion compounds developed
New in silico screening software has the capability to screen billions of compounds, with the hope of improving drug design and limiting side effects.