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24 September 2020 | By PerkinElmer
During this on-demand webinar, two leading researchers will discuss their innovative approaches to developing novel opportunities for immunotherapy treatments.
Electrophysiology and Biophysics Laboratory Techniques Guide from Molecular Devices.
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Molecular Devices helps Recursion produce the largest publicly available set of human cellular morphological data for COVID-19 therapeutic research.
A powerful, yet affordable, high-content imaging system in your own lab.
Scientists have found two active substances that allowed cells to reactivate the production of a protein that prevents the onset of Parkinson's disease.
A new tool called COVID-3D that monitors SARS-CoV-2 genome mutations could aid drug and vaccine development, its creators say.
An analysis of blood protein levels has supported drug target prioritisation by identifying the causal effects of proteins on diseases, a team has shown.
This issue includes articles that explore how a next-generation genomics platform can be used for COVID-19 research, the elimination of neutralising AAV antibodies for gene therapies and a new quick and cost-effective biomarker technology for cancer diagnostics. Also in this issue are features on antibody therapeutics for COVID-19 and targets…
According to a new report, artificial intelligence (AI) is vital for the rapid identification of drugs that can be repurposed to combat COVID-19.
Computational analysis has been used by researchers to examine 66 types of cancer and identify 568 genes that drive tumour development.
Researchers have found that the SARS-CoV-2 nucleocapsid protein may help the virus to spread from cell to cell, providing a drug target.
A drug screen using machine learning has identified hundreds of potential drugs that could be used to treat COVID-19, researchers say.
A team has developed a predictive tool called TransComp-R which could be used to reveal whether new drugs that have been effective in animals will have positive outcomes in humans.
A machine learning algorithm that predicts sites of DNA methylation could aid in the identification of disease-causing mechanisms, say researchers.
