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The software was so effective, he said, that it had quickly surpassed its programmers, learning to detect cancer using methods that they hadn't anticipated; in the future, it could replace human pathologists.
As well as outperforming human pathologists, it seems that C-Path can also teach them a thing or two about cancer biology.
Thus C-Path seems not only to outperform human pathologists, but also to have something to teach them about cancer biology.
For example, they would tell the computer to measure the three traits human pathologists use to determine a tumour's grade: the percentage of its cells that are tubelike; the diversity of appearance of the cell nuclei; and the proportion of cancer cells undergoing division.
The system was able both to grade the slides and to predict, in a way that human pathologists could not, whether each patient would survive for five years after treatment.When Dr Koller looked at which 11 features were the most robust predictors of survival, she discovered that only eight were characteristic of the tumour cells themselves.
And in that vein — similar to a lot of autonomous services, in fact — it's important to note that Paige.AI does not see itself as a replacement for humans (and in its case human pathologists), but as a tool to help them make better decisions for their patients.
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In a lab at Columbia University Medical Center, Matthew Putman shows how software can speed the work of a human pathologist.
They report in this week's Science Translational Medicine that they have written a program which can distinguish between grades of breast-cancer cell and can do so in a way that provides a more accurate prognosis than a human pathologist can manage.
They recently reported in Science Translational Medicine that they have written a program which can distinguish between grades of breast-cancer cell and in a way that provides a more accurate prognosis than a human pathologist can.Technology Quarterly More than just digital quilting A classic invention Return of the human computers Indolent or aggressive?
Among those revealed at the Genetic and Evolutionary Computation Conference held in London this summer were long-life USB memory sticks, superfast racing-yacht keels, ultra-high bandwidth optical fibres, improved cochlear implants and a cancer-biopsy analyser that matches a human pathologist's tumour-spotting skills.How can evolution help improve a USB stick?
A board-certified human pathologist classified these tumors as well-differentiated adenocarcinoma on standard hematoxylin and eosin staining (Fig. 5 C F).
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