ML Cancer Diagnosis, Robot Assistants, and Watermarking Data
Today George talks about the use of Machine Learning to diagnose Cancer from a blood test. By sampling 'cell-free-DNA' this test is capable of identifying 50 different types of Cancer and the localized tissue of origin with a >90% accuracy. Lan leads a discussion of what robots and researchers in robotics may be able to contribute towards fighting the COVID-19 pandemic. Last but not least, Kyle leads the panel in a discussion about watermarking data!
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