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The Olympus scanR high-content screening station rapidly acquires quantitative data from cell-based assays
Self-learning microscopy opens new horizons in high-content analysis and advances phenotypic screening.
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Artificial Intelligence
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AI in drug discovery market to increase at CAGR of 40.8 percent
Research has found that artificial intelligence in drug discovery will be worth $1,434 million by the end of 2024.
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ELRIG Drug Discovery 2019: looking back to the future
On 5-6 November, ACC Liverpool hosted the ELRIG Drug Discovery event, which allowed R&D professionals to come together and discuss the latest industry developments.
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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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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.