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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.
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AI learns chemistry language to predict how to make medicines
An algorithm has been developed which can predict the outcomes of complex chemical reactions with over 90 percent accuracy which can be applied to drug development.
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New model predicts cognitive decline two years ahead
Researchers hope the system can choose the right patients to enroll in clinical trials, to speed discovery of drug treatments.
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Artificial intelligence in the world of drug discovery
Charlotte Walker-Osborn, a Partner and Head of Technology Sector (International) at global law-firm Eversheds Sutherland and a legal expert in technology law, explains some of the challenges and potential future of artificial intelligence (AI) in the field of drug discovery.
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Integrated multi-‘omic’ studies could lead to precision treatment for asthma
Researchers say integrated multi-'omic' studies could accelerate the use of precision medicine for asthma patients.
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High-content imaging: challenges of the 3D world
The potential of three-dimensional cell culture models is now well-recognised by scientists; however, there are still some challenges. Margaritha Mysior and Jeremy Simpson address some of the common challenges of working with spheroids and organoid models – including how they are developed and how to obtain high-resolution, high-content images and…
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Ten big pharma companies collaborate on data sharing AI
A new AI project marks the first time 10 pharmaceutical companies have agreed to share data to aid drug discovery.
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UK drug discovery market ‘thriving’ says new report
A new report reveals a thriving service and supply sector for the UK in addition to its research and development biotechs.