High-throughput image analysis for drug response profiling in childhood leukemia

Last updated 17th Jan 2020
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CURATOR

A pinboard by Edward Law

Postdoctoral Research Associate, Newcastle University

PINBOARD SUMMARY

Applying machine learning methods to microscopic images to assess leukemia patient drug response

Survival rates for childhood leukemia patients has improved significantly since the 1960s: over 90% of acute lymphoblastic leukemia patients survive for 10 years or more. However, this improvement...