首页|Hospital Saint-Louis Reports Findings in Machine Learning (HLAEpiCheck: novel a pproach for HLA B-cell epitope prediction using 3D-surface patch descriptors der ived from molecular dynamic simulations)

Hospital Saint-Louis Reports Findings in Machine Learning (HLAEpiCheck: novel a pproach for HLA B-cell epitope prediction using 3D-surface patch descriptors der ived from molecular dynamic simulations)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting from Paris, France, by NewsRx journalists, research stated, “The human leukocyte antigen (HLA)system is the main cause of organ transplant loss through the recognition of HLAs present on t he graft bydonor-specific antibodies raised by the recipient. It is therefore o f key importance to identify all potentiallyimmunogenic B-cell epitopes on HLAs in order to refine organ allocation.”

ParisFranceEuropeAntigensCyborgsEmerging TechnologiesEpitopesImmunologyMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.20)