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New biomarkers may help prevent diabetes-related blindness
US researchers have identified new biomarkers that can detect early changes in the eye that can lead to diabetes-related blindness.
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Informatics
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Application note: High-content phenotypic profiling using the cell painting assay
The cell painting assay uses up to six fluorescent dyes to label and visualize a variety of subcellular structures at the single cell level.
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Exclusive report: AI & Informatics: Drug discovery and development
In this original report, find an in-depth analysis of AI and informatics within imaging, synthetic biology, drug screening and drug design. Featured interviews with experts from AstraZeneca, Auransa, PolarisQB and Chalmers University of Technology.
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Artificial intelligence may reveal how microbiome affects vaccine response
Researchers have been using artificial intelligence to study how the microbiome interacts with the human system to improve vaccine response.
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Novel database could accelerate drug repurposing for various diseases
NICEdrug.ch is an open-access database that may help scientists assess potential drugs for a range of diseases more quickly.
webinar
Utilising synthetic DNA technologies for high-throughput antibody discovery and optimisation
28 July 2021 | By Sartorius AG
In this on-demand webinar, our expert illustrates the utility of GPCR libraries and explains how to discover potent functional antibodies against multiple GPCR targets.
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Algorithm helps find best drug targets for all COVID-19 variants
A new computer algorithm has identified highly conserved sequences in viral proteins that could make the best drug targets for COVID-19.
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ebook: High-Throughput Data Management in process development
Cell Line Development and cell culture process teams, are you geared up to leverage the vast amount of data generated by high-throughput?
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Artificial intelligence method generates synthetic active ingredients
A team in Switzerland have demonstrated how artificial intelligence could be used in the search for new pharmaceutical agents.
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New microscopy method could lead to advancements in cell biology
Researchers at UT Southwestern have invented a novel microscopy method that could open new avenues of advanced microscopy.
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Whitepaper: Buying a digital informatics system for your R&D?
Examining existing R&D processes with a consolidated approach enables the stop of disjointed workflows to engage on the digitisation journey.
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Bioactivity information of one million molecules compiled
Using deep machine learning, researchers have completed the activity profiles, from chemistry to clinical level, for one million molecules.
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Brochure: Viral research solutions
Solutions to help you understand viral diseases and translate your research findings into better treatments and vaccines.
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Novel algorithm uses mass spec data to predict identity of molecules
A new algorithm called MolDiscovery uses mass spectrometry data from molecules to predict their identity and whether they are unknown substances.
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The benefits of lab automation in life sciences
While researchers conduct their studies, constraints such as time can impact their work. Dr Ian Holland from the University of Edinburgh spoke with Drug Target Review’s Deputy Editor Victoria Rees to explain how lab automation can offer a solution to these challenges and enhance output for scientists.