Scientists explore the utility of machine learning methods in the field of neurodegenerative disease diagnosis, prognosis, and treatment effect prediction.

Stanford University researchers developed a machine learning-based method capable of diagnosing multiple diseases using B cell and T cell receptor sequences. The model, called Machine learning for ...

A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.

Researchers examined how machine learning has been studied in rare diseases and identified areas of opportunity where future studies can improve care and treatment of rare diseases.

This is the first deep learning approach for the prediction of disease-associated metal-relevant site mutations in metalloproteins, providing a new platform to tackle human diseases.

New research from The University of Texas at Arlington and the U.S. Department of Agriculture demonstrates how mathematical ...

AI machine learning models for predicting Alzheimer’s were developed using International Classification of Diseases Tenth Revision (ICD-10) codes from electronic health records (EHRs) and ...

Many bacterial-linked illnesses, such as inflammatory bowel disease or colorectal cancer, are associated with an overgrowth of gut bacteria thought to be bad actors. But when researchers used a ...