Synthetic tumor data helps AI improve long-read cancer mutation detection

A research team at The University of Hong Kong (HKU), has developed ClairS—a deep-learning algorithm that significantly improves the detection of cancer mutations using long-read sequencing. Tested on breast cancer, lung cancer and melanoma cell line datasets, ClairS has demonstrated high accuracy across various cancer types and sequencing conditions.

This article was originally published on MedicalXpress.com

You may also be interested in:

Read More:

Lawyers Lookup