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Anticipating and mitigating adverse drug reactions through machine learning and privacy-preserving data sharing (infographic)

pdf fileReeves A; Johnston LA;

Do you want to be able to anticipate and mitigate adverse drug reactions through machine learning?

Lhasa has developed a privacy-preserving data sharing solution, Effiris.

Effiris members observed a 5-15% improvement in MCC across their internal hERG data when using the Hybrid Effiris model, in comparison with a model trained using private data alone!

View this infographic for more detail.

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