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Machine learning reveals potential COVID-19 therapeutic compounds
A drug screen using machine learning has identified hundreds of potential drugs that could be used to treat COVID-19, researchers say.
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Screening
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Raman technique developed for high-throughput discovery of enzymes
A flow mode Raman-activated cell sorter called FlowRACS has been created by researchers for high-throughput discovery of enzymes and their cell factories.
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New chemical screening method could reveal molecular glue degraders
A phenotypic chemical screen has been developed that could be used to discover molecular glue degraders which induce the degradation of target proteins.
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Screening process may enhance mAb drug development, say scientists
Screening potential monoclonal antibody (mAb) drugs on their colloidal stability could eliminate mAbs that do not respond efficiently in solution.
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Functioning lung cell assay for modelling COVID-19 infections developed
A UK company has announced that their lung epithelium model can successfully be used to test potential treatments for COVID-19.
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SRI-37330 revealed as drug candidate for treatment of diabetes
A study has shown that SRI-37330 is successful at improving the characteristics of diabetes in human pancreatic islets and animal models.
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High-throughput screening reveals 21 drugs with activity against COVID-19
After screening 12,000 existing drugs, scientists have identified 21 which prevent the replication of SARS-CoV-2 in concentrations safe for patients.
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Imaging and machine learning system created to discover tuberculosis drugs
Researchers have developed MorphEUS, a technology to identify new drugs that combat M. tuberculosis by revealing how compounds destroy the bacteria.
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Revealing the genetic signature of neurodegenerative disease
Which immune cells contribute towards immune-induced neurodegeneration and how could this knowledge enable conditions such Alzheimer’s and multiple sclerosis to be treated?
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Whitepaper: Big data and connected tools
As more of the small devices in the lab become connected, more laboratory workflows will be observable, and variability will be better understood.
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Case Study: Lab digitalisation and interoperability
Learn how one lab is saving time, improving traceability, and standardising protocols by using connected tools and recording all workflows digitally.
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Interview: Stefan Braam, CEO & Founder of Ncardia
Mass production with iPSCs: how Ncardia has pushed the boundaries with high-throughput iPSC research.
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Whitepaper: Neuroinflammation study
Neuroinflammation study by combining human iPSC-derived astrocytes and HTRF.
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Brochure: Particle analysis re-imagined with the Aura™
Get reproducible and quantitative count, size, morphology and particle ID in one system with the Aura™.
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Whitepaper: iPSC manufacturing for drug discovery
Controlled manufacturing of hiPSC-derived cardiomyocytes in stirred-tank bioreactors enabling high-throughput phenotypic screening.
