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Celebrating the coffee break | Opinion

I have always been a firm believer in the importance of coffee breaks, and not just because I have a caffeine habit to maintain. For me, coffee...

Identifying severe community-acquired pneumonia using radiomics and clinical data: a machine learning approach

Radiomics feature extractionTo quantify the grey-scale features extracted for each ROI22, an open-source tool, Pyradiomics23 (v3.0, compliant with the Biomarker Standardization Initiative Guidelines24), was used to extract...

Genome-scale models in human metabologenomics

Saklayen, M. G. The global epidemic of the metabolic syndrome. Curr. Hypertens. Rep. 20, 12 (2018).Article  PubMed  PubMed Central  ...

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Protein interactions in human pathogens revealed through deep learning

Computational pipeline for proteome-wide PPI identificationTo screen through hundreds of millions of protein pairs for PPIs, we first sought to increase the computational efficiency...

Pre-training with fractional denoising to enhance molecular property prediction

Butler, K. T., Davies, D. W., Cartwright, H., Isayev, O. & Walsh, A. Machine learning for molecular and materials science. Nature 559, 547–555 (2018).Article  ...

Machine learning algorithm for predicting seizure control after temporal lobe resection using peri-ictal electroencephalography

Study populationRetrospective data were captured from patients who had undergone temporal lobe resection for drug resistant temporal lobe epilepsy at the Cleveland Clinic (Cleveland,...

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