in these patients, we want to avoid as much as possible an over treatment that can be considered in itself as a new disease, so that s why you want to identify the patients that are not likely to relapse. 0wkin aims to complement everyday clinical practice with its tool. it can already be used in european hospitals, and the company is working on an updated version for those in the uk. what does an oncologist, who s used to having difficult conversations with patients, make of it, though? what we do now in terms of assessment of the risk is to have the standard i information, the standard clinical and histopathological information that are - the tumour size, the lymph node involvement, the tumour grade, | 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
we know that for this type of cancer, the prognosis is good, with more than 90% of patients be able to get rid of the disease. in these patients, we want to avoid as much as possible an over treatment that can be considered in itself as a new disease, so that s why you want to identify the patients that are not likely to relapse. 0wkin aims to complement everyday clinical practice with its tool. it can already be used in european hospitals, and the company is working on an updated version for those in the uk. what does an oncologist, who s used to having difficult conversations with patients, make of it, though? what we do now in terms of assessment of the risk is to have the standard i information, the standard clinical and histopathological information that are - the tumour size, the lymph node involvement, the tumour grade, |
to get rid of the disease. in these patients, we want to avoid as much as possible an over treatment that can be considered in itself as a new disease, so that s why you want to identify the patients that are not likely to relapse. 0wkin aims to complement everyday clinical practice with its tool. it can already be used in european hospitals, and the company is working on an updated version for those in the uk. what does an oncologist, who s used to having difficult conversations with patients, make of it, though? what we do now in terms of assessment of the risk is to have the standard information, the standard clinical and histopathological information that are the tumour size, the lymph node involvement, i the tumour grade, the tumour histology, the expression of the oestrogen. - the ai is going to provide
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.
in these patients, we want to avoid as much as possible an over treatment that can be considered in itself as a new disease. so that s why you want to identify the patients that are not likely to relapse. 0wkin aims to complement everyday clinical practice with its tool. it can already be used in european hospitals, and the company is working on an updated version for those in the uk. what does an oncologist, who s used to having difficult conversations with patients, make of it, though? what we do now in terms of assessment of the risk is to have the standard i information, the standard clinical and histopathological information that are - the tumour size, the lymph node involvement, the tumour grade, i 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