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Brochure: Automation drug discovery
Accelerate your drug discovery workflows efficiently and cost-effectively with lab automation solutions from Beckman Coulter Life Sciences.
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Artificial Intelligence
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Transformational machine learning approach could accelerate drug design
In this Q&A, Professor Ross King from the University of Cambridge, UK, discusses how a new machine learning approach could aid drug discovery and development. The method learns from multiple problems and improves performance while it learns.
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Product hub: High-content 3D confocal imaging of live cell clusters
Learn about the high-content analysis system that provides high-quality three-dimensional imaging for enhanced live cell analysis.
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‘Transformational’ machine learning method may speed up drug discovery
Transformational machine learning (TML) learns from multiple problems and improves performance while it learns, potentially accelerating drug discovery.
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Tropical frog models reveal novel kidney disease insights
Scientists utilised CRISPR technology and deep learning systems to investigate the genes associated with polycystic kidney disease.
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AI & Informatics: Drug discovery and development – industry survey infographic
View Drug Target Review's new infographic on the use of AI and informatics within early therapeutic development here.
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Application note: Validation of identified through AI
Targets for drug discovery can be identified with AI but require validation in vitro. Here’s how this can be done, using hiPSC technology.
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New AI technology could shape the future of RNA therapeutics
Artificial intelligence was shown to predict the 3D shapes of RNA molecules, which could significantly advance RNA therapeutics.
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New AI method could aid in development of T cell-based cancer therapies
An artificial intelligence technique can identify which neoantigens are recognised by the immune system, possibly improving cancer prognosis and treatment.
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Accelerating drug discovery with disruptive computational methods
Sheraz Gul explores how machine learning and artificial intelligence represent an exciting opportunity for the drug discovery industry, with the potential to develop highly optimised small molecules.
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Gut microbiome linked to rheumatoid arthritis prognosis
New genomic study reveals that the microbiome could predict rheumatoid arthritis prognosis, potentially advancing treatments.
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Artificial intelligence could revolutionise glycomics datasets
Researchers have created a tool that allows glycomics datasets to be analysed using artificial intelligence for early cancer diagnoses.
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Innovative algorithm could help advance single-cell genomics
Researchers have developed a novel algorithm, “scArches”, that can compare data on single-cell genomics to better understand diseases.
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On-demand webinar: An AI-based approach to phenotypic characterisation of neuronal cells
Evaluation of neurotoxicity effects is an active area of investigation in drug discovery and disease modeling.
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Drug Target Review update: exclusive report, online summit and more!
Hear about the latest Drug Target Review updates from Deputy Editor Victoria Rees who discusses our new report on AI & Informatics, the Cell & Gene Therapy Advancements online summit and much more!