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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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Short peptides discovery could lead to new treatments for Alzheimer’s
The memory of mice with Alzheimer's greatly improved after they were injected with two newly discovered short peptides.
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Integrating drug discovery R&D
Pharmaceutical companies are under increasing pressure to get novel drugs to market as quickly as possible. Here, Sheraz Gul discusses how integrating processes could help streamline drug discovery in the future.
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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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AI designed, synthesised and validated new drug in 46 days
Researchers have developed a new AI system which was able to discover and then successfully test several new compounds within 46 days.
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Uniting humans and data: the role of AI in genomics
AI has applications in many areas of research, including genomics. Slavé Petrovski of AstraZeneca reveals how AI is used in the study of the human genome and how it may evolve in the future.
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Beyond the phenotype: using AI to better understand disease
Claus Bendtsen at AstraZeneca reveals how AI can be used to improve our understanding of disease, to help identify the causes of conditions and aid in drug discovery.
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Applying AI language translation to the creation of new pharmaceuticals
Designing new drug molecules is crucial to R&D. Dr Sam Genway suggests that one way to improve and speed up this process is using AI inspired by language translation.
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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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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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AI-driven automated chemistry as a tool to accelerate drug discovery
Typically, early drug discovery campaigns start with the screening of chemical libraries to identify candidate chemotypes modulating a particular target and/or phenotype. Success of the primary screening depends on multiple factors related to both biology and chemistry. These include the target’s druggability, sensitivity and specificity of assay system, composition and…
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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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Drug discovery from the age of information to the age of intelligence
Data drives drug discovery, yet it continues to be among the biggest challenges faced by the industry.1 Experiments are often not repeatable and data interpretation is subject to the biases and limitations of human beings.
