Harnessing the power of machine learning, Boston researchers hope to change breast cancer detection techniques for the better. Scientists from Massachusetts General Hospital and MIT’s Computer ...

Machine learning using real-time symptom reports can accurately detect lymphedema, a distressing side effect of breast cancer treatment that is more easily treated when identified early ...

A large team of researchers affiliated with multiple institutions across the U.S. has found that it might be possible to use machine learning to detect early-stage lung cancer in human patients.

Image Credit: create jobs 51 / Shutterstock.com Lung cancer ... a machine-learning algorithm, for the early detection and classification of pulmonary nodules. The validation of this model using ...

Researchers have developed a new machine-learning model ... to discover that early detection and monitoring of multiple cancer types are potentially feasible using such a cost-effective approach ...

A technique known as molecular fingerprinting, “… where phenotype detection ... Using these complex patterns from individuals with and without cancer, the researchers taught a machine learning ...

HLA loss of heterozygosity (HLA-LOH) is a phenomenon that occurs in some cancer cells to help them to evade detection ... This new machine-learning approach – named DASH (Deletion of Allele-Specific ...

Harnessing the power of machine learning, Boston researchers hope to change breast cancer detection techniques for the better. Scientists from Massachusetts General Hospital and MIT’s Computer ...