Machine-learning technique classifies key immune cells for suite of diseases
Trinity College Dublin has developed a new technique that accurately determines the state of macrophages.
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Trinity College Dublin has developed a new technique that accurately determines the state of macrophages.
A study has proposed a new technique for modelling living cells at atomic resolution, which could be used to research human health.
The ‘placenta-on-a-chip’ microfluidic device mimics a malaria-infected nutrient exchange between mother-foetus.
Through the novel screening strategy, the researchers were able to develop a suit of 48 reactions that produce compounds that are potentially useful for new drugs.
The AI algorithm was able to predict the presence and the location of nuclei in more than 8,000 cells.
Researchers have developed a machine learning method to quantitatively analyse and compare microscopy images of proteins.
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An in-silico reaction screening strategy could produce compounds potentially useful for novel drug development.
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