Machine learning for lung cancer diagnosis, treatment, and prognosis

Y Li, X Wu, P Yang, G Jiang… - Genomics, Proteomics and …, 2022 - academic.oup.com
The recent development of imaging and sequencing technologies enables systematic
advances in the clinical study of lung cancer. Meanwhile, the human mind is limited in …

Bias and inconsistency in the estimation of tumour mutation burden

MA Makrooni, B O'Sullivan, C Seoighe - BMC cancer, 2022 - Springer
Background Tumour mutation burden (TMB), defined as the number of somatic mutations
per megabase within the sequenced region in the tumour sample, has been used as a …

Machine Learning Applications in Lung Cancer Diagnosis, Treatment and Prognosis

Y Li, X Wu, P Yang, G Jiang, Y Luo - arXiv preprint arXiv:2203.02794, 2022 - arxiv.org
The recent development of imaging and sequencing technologies enables systematic
advances in the clinical study of lung cancer. Meanwhile, the human mind is limited in …

[PDF][PDF] Tumour mutation burden in oestrogen receptor positive breast cancer

CF McGuinness - 2022 - ourarchive.otago.ac.nz
Immune checkpoint blockade (ICB) is a cancer therapy that is based on promoting an
antitumour immune response. Tumour mutation burden (TMB) is an effective biomarker for …