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Process Validation For Pharmaceutical Industries
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genomic tests, this genomic analysis. i pathologists here aim to digitise and analyse another a00 slides over the next two years as part of the prospective validation stage of the relapse risk study. to look at the patient s breast cancer tissue, the pathologist places the sample onto a slide, and then embeds it in paraffin wax. this helps both preserve it and keep it in place. then, instead of it being put under a microscope, it s taken from the lab to a digital scanner, where a very high resolution image of the cancerous cells is created. digitising slides isn t a new concept, but running an ai model to determine the risk of cancer returning is. no one involved is suggesting that this will replace the importance of doctors, but the hope is that more detailed data and analysis could enhance theirjudgement calls.
the tumour histology, the i expression of the oestrogen. the ai is going to provide - a more comprehensive analysis of all this data and it s - going to complement these genomic tests, this genomic analysis. i pathologists here aim to digitise and analyse another 400 slides over the next two years as part of the prospective validation stage of the relapse risk study. to look at the patient s breast cancer tissue, the pathologist places the sample onto a slide, and then embeds it in paraffin wax. this helps both preserve it and keep it in place. then, instead of it being put under a microscope, it s taken from the lab to a digital scanner, where a very high resolution image of the cancerous cells is created. digitising slides isn t a new concept, but running an ai model to determine the risk of cancer returning is. no one involved is suggesting
a more comprehensive i analysis of all this data - and it s going to complement these genomic tests, | this genomic analysis. pathologists here aim to digitise and analyse another a00 slides over the next two years as part of the prospective validation stage of the relapse risk study. to look at the patient s breast cancer tissue, the pathologist places the sample onto a slide, and then embeds it in paraffin wax. this helps both preserve it and keep it in place. then, instead of it being put under a microscope, it s taken from the lab to a digital scanner, where a very high resolution image of the cancerous cells is created. digitising slides isn t a new concept, but running an ai model to determine the risk of cancer returning is. no one involved is suggesting that this will replace the importance of doctors, but the hope is that more detailed data and analysis
and histopathological information that are the tumour size, the lymph node involvement, j the tumour grade, the tumour histology, the expression of the oestrogen. - the ai is going to provide a more comprehensive i analysis of all this data, - and it s going to complement these genomic tests, | this genomic analysis. pathologists here aim to digitise and analyse another a00 slides over the next two years as part of the prospective validation stage of the relapse risk study. to look at the patient s breast cancer tissue, the pathologist places the sample onto a slide and then embeds it in paraffin wax. this helps both preserve it and keep it in place. then, instead of it being put under a microscope, it s taken from the lab to a digital scanner, where a very high resolution image of the cancerous cells is created.
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