Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Researchers have developed a new computational approach that uncovers possible drugs for specific cellular targets for ...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

A team of researchers from Atlanta-based Georgia Institute of Technology introduced an open-source algorithm Oct. 26 that predicts a cancer drug’s effectiveness based on a patient’s genetic data. The ...

The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for prioritizing high-risk individuals for interventions, according to a new study ...

Cardiologists often struggle to assess heart attack risk. New startups using AI could help. For all the modern marvels of cardiology, we struggle to predict who will have a heart attack. Many people ...