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Dr Sam Liver, Manager of the High-Throughput Molecular Discovery Laboratory at the Rosalind Franklin Institute, explains how lab automation in the form of machine learning and high‑throughput experimentation (HTE) can be implemented to enhance productivity in autonomous molecular discovery.
An assay that combines 3D disease models and automated AI-based fibrosis quantification could accelerate NASH drug discovery.
A novel artificial intelligence (AI) technique called ProteinGAN has shown success at studying well known proteins to develop new ones.
Product hub: The world’s first BioPharma Lifecycle Management system – navigating your biopharma lifecycle
Here, we present IDBS Polar, a platform that securely manages drug progression in contexts of workflow, integration and insight.
Achieve intact SARS-CoV-2 virus enrichment products. You only need a centrifuge, and the intact virus is enriched in less than 3 hours with very little hands-on time.
A novel machine learning method can explain how glycans stabilise proteins, aiding the discovery and design of protein-based drugs.
A novel machine learning method called DeepBAR could accelerate drug discovery and protein engineering, researchers say.
An artificial intelligence platform has been created to enable tens of thousands of microscopy images to be generated in an hour.
KingFisher APEX is our newest instrument for automation workflows for high throughput DNA and RNA extraction. With precision handling and touch screen interface.
RiboMinus Bacteria 2.0 Transcriptome Isolation Kits perform efficient transcriptome enrichment from total bacterial RNA. Improve your RNA extraction from bacteria today.
Researches have provided a proof-of-concept that proteomic analysis could be used to identify drivers of aggressive cancers.