The use of machine learning methods is increasing in the field of neurodegenerative disease research for rapidly and accurately analyzing disease-related data, which is essential for supporting ...

Dr. Ho Sang Jung and his research team from the Advanced Bio and Healthcare Materials Research Division at the Korea ...

Study: From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment. Image Credit: Have a nice day Photo / Shutterstock.com. Common ML models in ...

The investigators applied a machine learning tool called Mal-ID to analyze the structure and sequences carried in T and B cells and diagnose disorders in the study volunteers. "The diagnostic toolkits ...

Machine learning is widely used to develop accurate models for disease prediction. And advanced machine learning methods, like neural networks , are a way of processing large volumes of data.

Results: Imbalance in the number of classes within the dataset proved challenging for the machine learning (ML) algorithm predictions. All algorithms performed significantly better than ‘No ...

A novel machine learning framework – Mal-ID – can decipher an individual’s immune system’s record of past infections and diseases, according to a new study, providing a powerful tool with ...

Machine learning may help identify biomarkers and develop predictive models that could assist in the diagnosis of metabolic dysfunction-associated steatotic liver disease and hepatic fibrosis ...