The following is a summary of “Development and External Validation of a Detection Model to Retrospectively Identify Patients ...

Leveraging whole slide embedding from pretrained foundation models (FMs) improves nonmelanoma skin cancer (NMSC) diagnosis, ...

A new machine learning algorithm excels at interpreting optical spectroscopy data of molecules, materials and disease ...

In an era where digital payments and cybersecurity threats increasingly overlap, AI and machine learning have become ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

Patients are compared to each other using multivariate time series (MTS) data. Each ICU patient's stay is represented as a time series capturing medical interventions like mechanical ventilation, ...

Cardiac fibroblasts (CF) can become activated and produce excessive extracellular matrix, contributing to fibrotic remodeling ...

A new machine learning method from Rice University helps scientists better understand the unique light signatures of ...