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- TRL (Technology readiness level) -
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- Titre Assessment of malignancy and prediction of efficacy of treatment of tumours
- Description The proposed solution is an objective method for prognosis of a cancer based on the analysis of a virtual slide (from a solid tumour specimen) by a software program. Using a machine learning algorithm, 3 patterns emerged from linear quantification of lymphocytes of 117 patients. For example, the relative risk of relapse at 5 years is 16 if you have the pattern 3 (compared to the pattern 1). This technique is more reliable and more rapid than current ones and rounds out the present anatomicopathology methods to clarify the prognosis derived from the TNM classification. It will enable the assessment of the risk of postoperative recurrence, sensitivity to the various anti-tumour treatments and also the risk for metastases to develop
- Bénéfices Assessement of the malignancy of a solid tumour
Acute appraisal of the survival prognosis of a patient
- Nouveauté Rapid, objective and reliable method of prognosis of the malignancy of solid tumours
- Mots clés Cancer, anatomo-pathology, histology, prognosis, software, image analysis
- Secteurs Health
