Researchers delineate novel COVID-19 subgroups in critically ill patients
The new study used sequence clustering analysis to identify four subgroups of COVID-19 to help match patients to specific treatments.
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The new study used sequence clustering analysis to identify four subgroups of COVID-19 to help match patients to specific treatments.
Synthetic biology processes can be useful to therapeutic development, diagnostics and vaccine advancement. Drug Target Review’s Victoria Rees spoke with Dr Jim Collins, Termeer Professor of Medical Engineering & Science at MIT and Founding Core Faculty & Lead, Living Cellular Devices at the Wyss Institute at Harvard University, to explore…
Researchers have created a tool that allows glycomics datasets to be analysed using artificial intelligence for early cancer diagnoses.
A supercomputing method has revealed details of glycan “gates” on the SARS-CoV-2 Spike protein that open to allow virus entry and infection.
US researchers have identified new biomarkers that can detect early changes in the eye that can lead to diabetes-related blindness.
Researchers have created an algorithm that can predict the efficiencies of guide RNAs for CRISPR, potentially making it more precise.
Researchers created their new method to analyse chromosomes in 3D, revealing how misconfigurations play a role in cancer.
Using computer modelling, a team has shown that a molecular chaperone called GRP78 could be targeted by drugs in strategies to treat COVID-19.
A new modelling method could be used as a surveillance tool to monitor emerging infectious SARS-CoV-2 variants, scientists say.
An algorithm which continuously processes new data has been developed to allow researchers to access and analyse single-cell sequencing information.
A new coarse-grained model of the complete SARS-CoV-2 virion has revealed potential new ways to combat the coronavirus.
A team has demonstrated that their bioinformatics approach, PlasmidHawk, can analyse DNA sequences to identify the source of engineered plasmids.
Researchers have developed a new technique called mim-tRNAseq to measure, map and analyse tRNAs in cells, providing insight into disease.
Researchers have developed a computer modelling programme that can produce genetic circuits for cellular engineering.
Scientists have trained a computer algorithm to identify differences in cancer cell lines based on microscopic images, preventing the misclassification of cells.