Chronic pain conditions, long-lasting medical conditions characterized by persistent pain in specific areas of the body, are often difficult to diagnose and treat. Understanding the biological markers ...

Scientists from the Cambridge Baker Systems Genomics Initiative have used machine learning ... artery disease. Senior author Professor Michael Inouye, Munz Chair of Cardiovascular Prediction ...

As the use of machine learning ... can then investigate where the machine learning pipeline can be improved and, in the context of a chronic disease occurrence prediction task, may decide to ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

Machine learning (ML) and deep learning (DL) use algorithms ... producing a prediction. Being so new, however, radiomics still awaits standardized protocols and criteria. AI in liver disease ...

Machine learning is a branch of AI and computer science that makes use of algorithms ... genome and make predictions about organization and functional capacity. The recent development of cancer ...

A review on machine learning-based prediction methods for drug side effects sorts out methods for predicting side effects ...

"Machine learning ... studies using data from the Alzheimer's Disease Genetics Consortium to identify genetic variants linked to overall risk of developing Alzheimer's disease and to development ...