首页|Data on Lymphoma Reported by Gabriel Kalweit and Colleagues (Detection of diseas e-specific signatures in B cell repertoires of lymphomas using machine learning)
Data on Lymphoma Reported by Gabriel Kalweit and Colleagues (Detection of diseas e-specific signatures in B cell repertoires of lymphomas using machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Lymphoma is the subject of a report. According tonews reporting out of Freiburg, Germany, by NewsRx editors, research stated, “The classification of Bcell lymphomas-main ly based on light microscopy evaluation by a pathologist-requires many years oftraining. Since the B cell receptor (BCR) of the lymphoma clonotype and the micr oenvironmental immunearchitecture are important features discriminating differe nt lymphoma subsets, we asked whether BCRrepertoire next-generation sequencing (NGS) of lymphoma-infiltrated tissues in conjunction with machinelearning algor ithms could have diagnostic utility in the subclassification of these cancers.”
FreiburgGermanyEuropeCancerCybor gsEmerging TechnologiesHealth and MedicineHematologyImmunoproliferative DisordersLymphatic Diseases and ConditionsLymphomaLymphoproliferative Diso rdersMachine LearningOncology
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