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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.
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Colon cancer proteins and gene analysis uncovers potential new treatments
A new study analysing both the entire set of genes and all the proteins produced by colon cancer tissues has revealed a more comprehensive view of the tumour.
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Scientists make improvements to AI pipeline used to diagnose genetic diseases
Building on previous research, scientists have made improvements to an artificial intelligence pipeline used to diagnose genetic diseases via blood samples obtained from gravely ill infants.
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Genetic study confirms that numerous genes contribute to Tourette’s syndrome
A meta-analyses of a number of studies has found that variants in numerous genes work together to contribute to Tourette's syndrome...
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Webinar highlights: Harmonising drug-target binding data analytics on a single platform
Harmonising drug-target binding data analytics looks at building a single, integrated software platform for a future pharma research and development digital ecosystem. This webinar, sponsored by PerkinElmer, outlined the fundamentals of a design process where an experimental analytics data workflow was integrated into a more seamlessly interactive digital platform.
