A new platform combines AI, flow chemistry and robotics to minimise the need for human intervention in the synthesis process.
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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…
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.
Researchers hope the system can choose the right patients to enroll in clinical trials, to speed discovery of drug treatments.
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.
Researchers say integrated multi-'omic' studies could accelerate the use of precision medicine for asthma patients.
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…
A new AI project marks the first time 10 pharmaceutical companies have agreed to share data to aid drug discovery.
A new report reveals a thriving service and supply sector for the UK in addition to its research and development biotechs.
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.
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.
A meta-analyses of a number of studies has found that variants in numerous genes work together to contribute to Tourette's syndrome...
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.
Data integrity and computerised system validations (CSV) have become an area of increased scrutiny for regulatory agencies over the last several years. Understanding how the agencies view data integrity is critical for laboratories to maintain complete compliance.