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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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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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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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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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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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Brain cancer model developed to study glioblastoma
Researchers have used stem cells, CRISPR and gene sequencing technology to create the basis of a new brain cancer model that could offer opportunities for drug discovery.
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Application note: Integration of Sartorius Cubis® II Premium Balances into STARLIMS™ from Abbott Informatics
Laboratory Information Management Systems (LIMS) is becoming increasingly important in GMP regulated environments in order to ensure data integrity and faster working practices.
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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.
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Study shows that CRISPR-Cas9 gene editing has a low risk of mistakes
A study has shown that unintended mutations from gene editing with CRISPR-Cas9 are rare in zebrafish, providing reassurance that this technology is a valid tool with great promise for the treatment of genetic disorders.
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Researchers must not rely on generic online searches for chemical probes, study finds
The ICR has revealed that during drug discovery, researchers should not use general search engines and vendor catalogue information to decide on their use of chemical probes.
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New AI software shows the nature of RNA-protein interactions
New software has been developed that can reveal the detailed RNA-binding properties of proteins, which is important for characterising the pathology of many diseases.
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AI can predict which research will translate to clinical trials
Researchers have created an AI model that analyses the citations of studies, predicting their potential for eventual clinical application.
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Automation of complex synthetic biological molecules enabled by robotics
A new platform combines AI, flow chemistry and robotics to minimise the need for human intervention in the synthesis process.
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Getting connected – the key to solving the reproducibility problem?
As technology advances and scientific research progresses at a rapid pace, data is being generated in ever-larger quantities. Even with the forward strides in technology and advances in data processing, a common problem widely acknowledged by the scientific community is that of reproducibility. In this article, Matjaz Hren discusses the…
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Largest genome sequencing project launched in UK
The UK Biobank, the world’s largest genetics project, will sequence 500,000 genetic samples, which will be available to researchers everywhere.
