As artificial intelligence continues to revolutionize manufacturing with its ability to analyze data, predict failures and make recommendations on optimal actions, other industries are also using AI to make extraordinary discoveries. Medical researchers have developed a new technique that uses AI to assimilate data from cells to create a 'unified map' of subcellular components – half of which, it turns out, we've never seen before. Eventually, researchers say, we might be able to better understand the molecular basis of many diseases by comparing what's different between healthy and diseased cells.
Shock AI Discovery Suggests We've Not Even Discovered Half of What's Inside Our Cells
Inside every cell of the human body is a constellation of proteins, millions of them. They're all jostling about, being speedily assembled, folded, packaged, shipped, cut and recycled in a hive of activity that works at a feverish pace to keep us alive and ticking.
But without a full inventory of the protein universe inside our cells, scientists are hard-pressed to appreciate on a molecular level what goes wrong with our bodies that leads to disease.
Now, researchers have developed a new technique that uses artificial intelligence to assimilate data from microscopy images of single cells and biochemical analyses, to create a 'unified map' of subcellular components – half of which, it turns out, we've never seen before.