Researchers investigated how quantum computing could improve machine learning when healthcare data are limited. Testing five ...

Developing reliable machine learning models for health care can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...

A cross-sectional study of 1,005 breast cancer patients identified three fatigue subgroups and found perceived stress, ...

A new computational framework combines protein interaction network topology with imbalance-aware ensemble machine learning to ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...

Developing reliable machine learning models for healthcare can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...

Colonoscopy quality indicators for colorectal cancer precursors: Sessile serrated lesion and adenoma detection rates from a large clinical study of a blood-based test for CRC screening. This is an ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

The Institute of Electrical and Electronic Engineers, the world's largest nonprofit technical organization dedicated to the advancement of technology for the benefit of humanity, is keeping a sharp ...

Machine learning models using routinely collected health information, such as blood tests, medical history and lifestyle ...