A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP-Score: a morphology-based machine learning classification method for ...

We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...

Palliative care is recommended for patients with cancer with a life expectancy of <12 months. Machine learning (ML) techniques can help in predicting survival outcomes among patients with cancer and ...

As desperate cancer patients possibly die, others lie on hospital beds and at homes, following collapse of the cancer treatment machine at Kenyatta National Hospital, it has emerged that a new Sh218 ...

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 ...

With listing approved by authorities, device that destroys cancer cells with ultrasound waves could become more widely used in public hospitals A cutting-edge machine donated by Hong Kong tycoon Li Ka ...

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 ...

Novel computational techniques have rapidly developed in the last decade. Software engineers and computer programmers are pushing the boundaries of what we can do using machine learning as an ...