AI holds promise to accelerate drug repurposing for COVID-19
According to a new report, artificial intelligence (AI) is vital for the rapid identification of drugs that can be repurposed to combat COVID-19.
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Medical screening is a strategy used to identify the possible presence of an as-yet-undiagnosed disease in individuals without signs or symptoms.
According to a new report, artificial intelligence (AI) is vital for the rapid identification of drugs that can be repurposed to combat COVID-19.
A drug screen using machine learning has identified hundreds of potential drugs that could be used to treat COVID-19, researchers say.
A flow mode Raman-activated cell sorter called FlowRACS has been created by researchers for high-throughput discovery of enzymes and their cell factories.
A phenotypic chemical screen has been developed that could be used to discover molecular glue degraders which induce the degradation of target proteins.
Screening potential monoclonal antibody (mAb) drugs on their colloidal stability could eliminate mAbs that do not respond efficiently in solution.
A UK company has announced that their lung epithelium model can successfully be used to test potential treatments for COVID-19.
A study has shown that SRI-37330 is successful at improving the characteristics of diabetes in human pancreatic islets and animal models.
After screening 12,000 existing drugs, scientists have identified 21 which prevent the replication of SARS-CoV-2 in concentrations safe for patients.
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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