A study evaluated agreement between 10 AI digital pathology tools in assessing IHC-based HER2 expression and found the most variability in identifying HER2-low samples.

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the journal Proceedings ...

Oncologists say there is promise in new AI tools that can guide them when choosing between two plausible treatments.

A mysterious RNA found in breast cancer led scientists to uncover an entire hidden class of cancer-specific RNAs across ...

A new and important discovery comes from the field of oncological research thanks to the joint work of researchers from the Sbarro Institute in Philadelphia, the National Cancer Institute – Pascale ...

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...

The U.S. healthcare system generates massive volumes of data spanning patients, treatments, and billing but real datasets are often inaccessible due to privacy laws like HIPAA. This project was ...

n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...

Background: The overall incidence of liver metastasis in colorectal cancer is as high as 50%, and surgery remains the only potentially curative approach for the metastatic disease. The recurrence rate ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.