A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types in patients with cancers of unknown primary (CUP), according to research ...

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and automation in India today.

UC San Diego researchers have developed T1GRS, a machine‑learning model that accurately predicts genetic risk for Type 1 ...

By analyzing CpG-based DNA methylation, the model achieved 87% accuracy when applied to 31 cases representing 17 different cancer types.