project Near-infrared spectroscopy and machine learning algorithms for rapid and non-invasive detection of Trichuris Provided by The University of Queensland Research Project Full description This study assessed the performance of the near-infrared spectroscopy (NIRS) technique coupled with machine learning algorithms to detect Trichuris muris in faecal, blood, serum samples and non-invasively through the skin of mice. Click to explore relationships graph Help Related Data $relation_to_title = []; $dupes = 0;?> Has output, isRelatedTo Machine learning and detection of Trichuris muris in mice Viewed: [[ro.stat.viewed]] Saved to MyRDA Save to MyRDA
Research Project Full description This study assessed the performance of the near-infrared spectroscopy (NIRS) technique coupled with machine learning algorithms to detect Trichuris muris in faecal, blood, serum samples and non-invasively through the skin of mice. Click to explore relationships graph Help Related Data $relation_to_title = []; $dupes = 0;?> Has output, isRelatedTo Machine learning and detection of Trichuris muris in mice