Nathan is a biomedical engineering PhD candidate at Queen's University whose research focuses on finding a way to repair ligaments by mimicking the biology and structure of the native tissue. As a science journalism intern, he is passionate about how complex scientific research can be shared with multiple audiences. When not writing or experimenting, he can be found perfecting his espresso making technique and playing with his two dogs.
A repurposed Blu-ray disc player offers an alternative to expensive and bulky microscope setups for imaging bacteria, urine, and blood for drug research and diagnostic analyses.
Researchers developed a carbon nanotube-based sensor paired with a machine learning algorithm to diagnose ovarian cancer with better specificity and sensitivity than current methods.
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