Publications
- Highlighted Item:
- Webinar:
- Publisher:Lhasa Limited
- Publication Date:NOV 2020
- Reference:
- DOI:
- PMID:
- Publication Type:Resource
- Scientific Area:
- Endpoint:
- Industry Type:
Anticipating and mitigating adverse drug reactions through machine learning and privacy-preserving data sharing (infographic)
Reeves 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.
