A Michigan Tech-developed machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions. Breast ...

Machine learning (ML) has the potential to transform oncology and, more broadly, medicine. 1 The introduction of ML in health care has been enabled by the digitization of patient data, including the ...

Artificial intelligence (AI), deep learning (DL), and machine learning (ML) have transformed many industries and areas of science. Now, these tools are being applied to address the challenges of ...

Role of Machine Learning for Cancer Diagnosis. ML is a branch of AI that allows computers to learn from data and make predictions accordingly. In cancer imaging, these techniques analyze large ...

A new paper from University of Helsinki, published today in Nature Communications, suggests a method for accurately analyzing genomics data in cancer archival biopsies. This tool uses machine ...

This approach improves the detection of the small fraction of cancer DNA, making the test, named TriOx, particularly sensitive for identifying cancer. 'Our new test brings together the best of cutting ...

The TREE AI model integrates multi-omics data to enhance cancer driver gene prediction, ... TREE, a novel AI model, enhances cancer driver gene detection using multi-omics data. News . Published: ...

In the study, which appears June 14 in Nature Medicine, the researchers showed that they could train a machine learning model, a type of artificial intelligence platform, to detect circulating ...