Introduction Postpartum disengagement from HIV care increases risks for adverse maternal health outcomes and transmission of ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

BREAKTHROUGH treatment achieved striking tumour regression in a model for Glioblastoma (GBM), an aggressive type of brain cancer. Researchers used a model that closely replicated how GBM grows and ...

Abstract: A revolutionary area of artificial intelligence called machine learning enables computers to learn from data and forecast without the need for explicit programming. A key component of ...

Abstract: Robust regression methods are essential for estimating parameters in linear regression models, especially when data is contaminated by outliers or small fluctuations, common in real-world ...