Transcriptome-wide analysis and modelling of prognostic alternative splicing signatures in invasive breast cancer: a prospective clinical study

Aberrant alternative splicing (AS) has been highly involved in the tumorigenesis and progression of most cancers. The potential role of AS in invasive breast cancer (IBC) remains largely unknown. In this study, RNA sequencing of IBC samples from The Cancer Genome Atlas was acquired … Source: http://feeds.nature.com/~r/srep/rss/current/~3/fb46DUk1eKc/s41598-020-73700-1

Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancer

In the present study, multivariate analysis demonstrated predictive factors for FN, including age, staging, and taxane-based regimen. The lymphocyte count 5 days after chemotherapy was also a strong predictive factor for FN. Based on these findings, logistic regression showed an AUC of 0.870 for validation. Source: Machine learning improves the prediction of febrile neutropenia in Korean […]

Using Artificial Intelligence to Identify Cancer

Even with the best doctors, these details are hard to differentiate accurately due to human error. Using AI algorithms can help combat this difficulty in order to identify possible cancerous cells at earlier stages, in order for the cancer to be treated better and more effectively. Source: Using Artificial Intelligence to Identify Cancer